From 4af032c0050b9c0c3ac6403bfc65ac95af02c753 Mon Sep 17 00:00:00 2001
From: cliffburdick <cburdick@nvidia.com>
Date: Wed, 5 Jul 2023 14:32:13 -0700
Subject: [PATCH 1/2] Added upsample and downsample operators

---
 .../api/signalimage/general/chirp.rst         |   4 +-
 .../api/signalimage/general/downsample.rst    |  17 +
 .../api/signalimage/general/upsample.rst      |  17 +
 docs/_sources/quickstart.rst                  |  48 +-
 docs/api/casting/as_double.html               |   2 +
 docs/api/casting/as_float.html                |   2 +
 docs/api/casting/as_int16.html                |   2 +
 docs/api/casting/as_int32.html                |   2 +
 docs/api/casting/as_int8.html                 |   2 +
 docs/api/casting/as_type.html                 |   2 +
 docs/api/casting/as_uint16.html               |   2 +
 docs/api/casting/as_uint32.html               |   2 +
 docs/api/casting/as_uint8.html                |   2 +
 docs/api/casting/index.html                   |   2 +
 docs/api/creation/index.html                  |   2 +
 docs/api/creation/operators/alternate.html    |   2 +
 docs/api/creation/operators/diag.html         |   2 +
 docs/api/creation/operators/eye.html          |   2 +
 docs/api/creation/operators/index.html        |   2 +
 docs/api/creation/operators/linspace.html     |   2 +
 docs/api/creation/operators/logspace.html     |   2 +
 docs/api/creation/operators/meshgrid.html     |   2 +
 docs/api/creation/operators/ones.html         |   2 +
 docs/api/creation/operators/range.html        |   2 +
 docs/api/creation/operators/zeros.html        |   2 +
 docs/api/creation/tensors/index.html          |   2 +
 docs/api/creation/tensors/make.html           |   2 +
 docs/api/dft/dct/dct.html                     |   2 +
 docs/api/dft/dct/index.html                   |   2 +
 docs/api/dft/fft/fft.html                     |   2 +
 docs/api/dft/fft/fft2d.html                   |   2 +
 docs/api/dft/fft/ifft.html                    |   2 +
 docs/api/dft/fft/ifft2.html                   |   2 +
 docs/api/dft/fft/index.html                   |   2 +
 docs/api/dft/fft/r2c.html                     |   2 +
 docs/api/dft/index.html                       |   2 +
 docs/api/dft/utility/fftfreq.html             |   2 +
 docs/api/dft/utility/fftshift1d.html          |   2 +
 docs/api/dft/utility/fftshift2d.html          |   2 +
 docs/api/dft/utility/ifftshift1d.html         |   2 +
 docs/api/dft/utility/ifftshift2d.html         |   2 +
 docs/api/dft/utility/index.html               |   2 +
 docs/api/index.html                           |   4 +
 docs/api/io/index.html                        |   2 +
 docs/api/io/read_csv.html                     |   2 +
 docs/api/io/read_mat.html                     |   2 +
 docs/api/io/write_csv.html                    |   2 +
 docs/api/io/write_mat.html                    |   2 +
 docs/api/linalg/decomp/chol.html              |   2 +
 docs/api/linalg/decomp/index.html             |   2 +
 docs/api/linalg/decomp/inverse.html           |   2 +
 docs/api/linalg/decomp/lu.html                |   2 +
 docs/api/linalg/decomp/qr.html                |   2 +
 docs/api/linalg/decomp/svd.html               |   2 +
 docs/api/linalg/decomp/svdbpi.html            |   2 +
 docs/api/linalg/decomp/svdpi.html             |   2 +
 docs/api/linalg/eigenvalues/eig.html          |   2 +
 docs/api/linalg/eigenvalues/index.html        |   2 +
 docs/api/linalg/index.html                    |   2 +
 docs/api/linalg/matvec/einsum.html            |   2 +
 docs/api/linalg/matvec/index.html             |   2 +
 docs/api/linalg/matvec/kron.html              |   2 +
 docs/api/linalg/matvec/matmul.html            |   2 +
 docs/api/linalg/matvec/matvec.html            |   2 +
 docs/api/linalg/other/cgsolve.html            |   2 +
 docs/api/linalg/other/index.html              |   2 +
 docs/api/linalg/other/trace.html              |   2 +
 docs/api/logic/bitwise/and.html               |   2 +
 docs/api/logic/bitwise/index.html             |   2 +
 docs/api/logic/bitwise/or.html                |   2 +
 docs/api/logic/bitwise/xor.html               |   2 +
 docs/api/logic/comparison/equal.html          |   2 +
 docs/api/logic/comparison/gt.html             |   2 +
 docs/api/logic/comparison/gte.html            |   2 +
 docs/api/logic/comparison/index.html          |   2 +
 docs/api/logic/comparison/lt.html             |   2 +
 docs/api/logic/comparison/lte.html            |   2 +
 docs/api/logic/comparison/neq.html            |   2 +
 docs/api/logic/index.html                     |   2 +
 docs/api/logic/logical/and.html               |   2 +
 docs/api/logic/logical/index.html             |   2 +
 docs/api/logic/logical/not.html               |   2 +
 docs/api/logic/logical/or.html                |   2 +
 docs/api/logic/truth/all.html                 |   2 +
 docs/api/logic/truth/any.html                 |   2 +
 docs/api/logic/truth/index.html               |   2 +
 docs/api/manipulation/basic/copy.html         |   2 +
 docs/api/manipulation/basic/if.html           |   2 +
 docs/api/manipulation/basic/ifelse.html       |   2 +
 docs/api/manipulation/basic/index.html        |   2 +
 docs/api/manipulation/basic/permute.html      |   2 +
 docs/api/manipulation/basic/slice.html        |   2 +
 docs/api/manipulation/index.html              |   2 +
 docs/api/manipulation/joinrepeat/clone.html   |   2 +
 docs/api/manipulation/joinrepeat/concat.html  |   2 +
 docs/api/manipulation/joinrepeat/flatten.html |   2 +
 docs/api/manipulation/joinrepeat/index.html   |   2 +
 .../manipulation/joinrepeat/lcollapse.html    |   2 +
 .../manipulation/joinrepeat/rcollapse.html    |   2 +
 docs/api/manipulation/joinrepeat/repmat.html  |   2 +
 docs/api/manipulation/joinrepeat/stack.html   |   2 +
 docs/api/manipulation/rearranging/fliplr.html |   2 +
 docs/api/manipulation/rearranging/flipud.html |   2 +
 docs/api/manipulation/rearranging/index.html  |   2 +
 .../api/manipulation/rearranging/reshape.html |   2 +
 .../api/manipulation/rearranging/reverse.html |   2 +
 docs/api/manipulation/rearranging/shift.html  |   2 +
 .../manipulation/rearranging/transpose.html   |   2 +
 docs/api/manipulation/selecting/index.html    |   2 +
 docs/api/manipulation/selecting/reduce.html   |   2 +
 docs/api/manipulation/selecting/remap.html    |   2 +
 docs/api/manipulation/selecting/select.html   |   2 +
 docs/api/math/arithmetic/add.html             |   2 +
 docs/api/math/arithmetic/div.html             |   2 +
 docs/api/math/arithmetic/fmod.html            |   2 +
 docs/api/math/arithmetic/index.html           |   2 +
 docs/api/math/arithmetic/mod.html             |   2 +
 docs/api/math/arithmetic/mul.html             |   2 +
 docs/api/math/arithmetic/neg.html             |   2 +
 docs/api/math/arithmetic/pow.html             |   2 +
 docs/api/math/arithmetic/sub.html             |   2 +
 docs/api/math/complex/angle.html              |   2 +
 docs/api/math/complex/conj.html               |   2 +
 docs/api/math/complex/hermitiant.html         |   2 +
 docs/api/math/complex/imag.html               |   2 +
 docs/api/math/complex/index.html              |   2 +
 docs/api/math/complex/norm.html               |   2 +
 docs/api/math/complex/real.html               |   2 +
 docs/api/math/explog/exp.html                 |   2 +
 docs/api/math/explog/expj.html                |   2 +
 docs/api/math/explog/index.html               |   2 +
 docs/api/math/explog/log.html                 |   2 +
 docs/api/math/explog/log10.html               |   2 +
 docs/api/math/explog/log2.html                |   2 +
 docs/api/math/extrema/index.html              |   2 +
 docs/api/math/extrema/max.html                |   2 +
 docs/api/math/extrema/min.html                |   2 +
 docs/api/math/extrema/rmax.html               |   2 +
 docs/api/math/extrema/rmin.html               |   2 +
 docs/api/math/index.html                      |   2 +
 docs/api/math/misc/abs.html                   |   2 +
 docs/api/math/misc/index.html                 |   2 +
 docs/api/math/misc/softmax.html               |   2 +
 docs/api/math/misc/sqrt.html                  |   2 +
 docs/api/math/round/ceil.html                 |   2 +
 docs/api/math/round/floor.html                |   2 +
 docs/api/math/round/index.html                |   2 +
 docs/api/math/round/round.html                |   2 +
 docs/api/math/sumprod/cumsum.html             |   2 +
 docs/api/math/sumprod/index.html              |   2 +
 docs/api/math/sumprod/prod.html               |   2 +
 docs/api/math/sumprod/sum.html                |   2 +
 docs/api/math/trig/acos.html                  |   2 +
 docs/api/math/trig/acosh.html                 |   2 +
 docs/api/math/trig/asin.html                  |   2 +
 docs/api/math/trig/asinh.html                 |   2 +
 docs/api/math/trig/atan.html                  |   2 +
 docs/api/math/trig/atanh.html                 |   2 +
 docs/api/math/trig/cart2sph.html              |   2 +
 docs/api/math/trig/cos.html                   |   2 +
 docs/api/math/trig/cosh.html                  |   2 +
 docs/api/math/trig/index.html                 |   2 +
 docs/api/math/trig/sin.html                   |   2 +
 docs/api/math/trig/sinh.html                  |   2 +
 docs/api/math/trig/sph2cart.html              |   2 +
 docs/api/math/trig/tan.html                   |   2 +
 docs/api/math/trig/tanh.html                  |   2 +
 docs/api/polynomials/index.html               |   2 +
 docs/api/polynomials/legendre.html            |   2 +
 docs/api/random/random.html                   |   2 +
 docs/api/searchsort/argmax.html               |   2 +
 docs/api/searchsort/argmin.html               |   2 +
 docs/api/searchsort/find.html                 |   2 +
 docs/api/searchsort/findidx.html              |   2 +
 docs/api/searchsort/index.html                |   2 +
 docs/api/searchsort/sort.html                 |   2 +
 docs/api/searchsort/unique.html               |   2 +
 docs/api/signalimage/convolution/conv1d.html  |   2 +
 docs/api/signalimage/convolution/conv2d.html  |   2 +
 docs/api/signalimage/convolution/index.html   |   2 +
 docs/api/signalimage/filtering/filter.html    |   2 +
 docs/api/signalimage/filtering/index.html     |   2 +
 .../signalimage/filtering/resample_poly.html  |   2 +
 docs/api/signalimage/general/chirp.html       |   8 +-
 docs/api/signalimage/general/downsample.html  | 759 +++++++++++++++++
 docs/api/signalimage/general/index.html       |   4 +
 docs/api/signalimage/general/upsample.html    | 760 ++++++++++++++++++
 docs/api/signalimage/index.html               |   4 +
 docs/api/signalimage/radar/ambgfun.html       |   2 +
 docs/api/signalimage/radar/index.html         |   8 +-
 docs/api/signalimage/radar/mvdr.html          |   2 +
 docs/api/stats/avgvar/index.html              |   2 +
 docs/api/stats/avgvar/mean.html               |   2 +
 docs/api/stats/avgvar/median.html             |   2 +
 docs/api/stats/avgvar/stdd.html               |   2 +
 docs/api/stats/avgvar/var.html                |   2 +
 docs/api/stats/corr/corr.html                 |   2 +
 docs/api/stats/corr/cov.html                  |   2 +
 docs/api/stats/corr/index.html                |   2 +
 docs/api/stats/hist/hist.html                 |   2 +
 docs/api/stats/hist/index.html                |   2 +
 docs/api/stats/index.html                     |   2 +
 docs/api/type_traits.html                     |   2 +
 docs/api/viz/bar.html                         |   2 +
 docs/api/viz/contour.html                     |   2 +
 docs/api/viz/index.html                       |   2 +
 docs/api/viz/line.html                        |   2 +
 docs/api/viz/scatter.html                     |   2 +
 docs/api/viz/surf.html                        |   2 +
 docs/api/window/bartlett.html                 |   2 +
 docs/api/window/blackman.html                 |   2 +
 docs/api/window/flattop.html                  |   2 +
 docs/api/window/hamming.html                  |   2 +
 docs/api/window/hanning.html                  |   2 +
 docs/api/window/index.html                    |   2 +
 docs/basics/broadcast.html                    |   2 +
 docs/basics/creation.html                     |   2 +
 docs/basics/datatype.html                     |   2 +
 docs/basics/index.html                        |   2 +
 docs/basics/matlabpython.html                 |   2 +
 docs/basics/nvtx.html                         |   2 +
 docs/basics/print.html                        |   2 +
 docs/basics/tensor.html                       |   2 +
 docs/build.html                               |   2 +
 docs/examples/fftconv.html                    |   2 +
 docs/examples/index.html                      |   2 +
 docs/genindex.html                            |   6 +
 docs/index.html                               |   2 +
 docs/limitations.html                         |   2 +
 docs/objects.inv                              | Bin 30437 -> 30552 bytes
 docs/quickstart.html                          |  45 +-
 docs/search.html                              |   2 +
 docs/searchindex.js                           |   2 +-
 docs_input/api/signalimage/general/chirp.rst  |   4 +-
 .../api/signalimage/general/downsample.rst    |  17 +
 .../api/signalimage/general/upsample.rst      |  17 +
 include/matx/operators/operators.h            |   1 +
 include/matx/operators/updownsample.h         | 137 ++++
 test/00_operators/OperatorTests.cu            |  71 ++
 239 files changed, 2324 insertions(+), 45 deletions(-)
 create mode 100644 docs/_sources/api/signalimage/general/downsample.rst
 create mode 100644 docs/_sources/api/signalimage/general/upsample.rst
 create mode 100644 docs/api/signalimage/general/downsample.html
 create mode 100644 docs/api/signalimage/general/upsample.html
 create mode 100644 docs_input/api/signalimage/general/downsample.rst
 create mode 100644 docs_input/api/signalimage/general/upsample.rst
 create mode 100644 include/matx/operators/updownsample.h

diff --git a/docs/_sources/api/signalimage/general/chirp.rst b/docs/_sources/api/signalimage/general/chirp.rst
index 9504d48c0..0b79d675a 100644
--- a/docs/_sources/api/signalimage/general/chirp.rst
+++ b/docs/_sources/api/signalimage/general/chirp.rst
@@ -1,7 +1,7 @@
 .. _chirp_func:
 
 chirp
-=========
+=====
 
 Creates a real chirp signal (swept-frequency cosine)
 
@@ -19,7 +19,7 @@ Examples
 
 
 cchirp
-=========
+======
 
 Creates a complex chirp signal (swept-frequency cosine)
 
diff --git a/docs/_sources/api/signalimage/general/downsample.rst b/docs/_sources/api/signalimage/general/downsample.rst
new file mode 100644
index 000000000..7304bdfdf
--- /dev/null
+++ b/docs/_sources/api/signalimage/general/downsample.rst
@@ -0,0 +1,17 @@
+.. _downsample_func:
+
+downsample
+==========
+
+downsample a signal by dropping samples
+
+.. doxygenfunction:: downsample
+
+Examples
+~~~~~~~~
+
+.. literalinclude:: ../../../../test/00_operators/OperatorTests.cu
+   :language: cpp
+   :start-after: example-begin downsample-test-1
+   :end-before: example-end downsample-test-1
+   :dedent:
diff --git a/docs/_sources/api/signalimage/general/upsample.rst b/docs/_sources/api/signalimage/general/upsample.rst
new file mode 100644
index 000000000..ab9c70925
--- /dev/null
+++ b/docs/_sources/api/signalimage/general/upsample.rst
@@ -0,0 +1,17 @@
+.. _upsample_func:
+
+upsample
+========
+
+Upsample a signal by stuffing zeros
+
+.. doxygenfunction:: upsample
+
+Examples
+~~~~~~~~
+
+.. literalinclude:: ../../../../test/00_operators/OperatorTests.cu
+   :language: cpp
+   :start-after: example-begin upsample-test-1
+   :end-before: example-end upsample-test-1
+   :dedent:
diff --git a/docs/_sources/quickstart.rst b/docs/_sources/quickstart.rst
index 86b4a2932..ef36145e6 100644
--- a/docs/_sources/quickstart.rst
+++ b/docs/_sources/quickstart.rst
@@ -72,7 +72,7 @@ Tensors can also be initialized using initializer list syntax using the ``SetVal
 .. code-block:: cpp
 
     auto myT = make_tensor<float>({3, 3});
-    myT.SetVals({ {1,2,3}, {4,5,6}, {7,8,9} });
+    myT.SetVals({{1,2,3}, {4,5,6}, {7,8,9}});
 
 In other languages it's very common to initialize a tensor with a set of values on creation (ones, zeros, ranges). This will be covered later 
 in the tutorial when we discuss operators, and it should become clear why we initialize this way.
@@ -110,16 +110,16 @@ Slicing and dicing
 ------------------
 As the name implies, ``t`` is a view into a region of memory. When the initial view is created and memory is allocated, the tensor view is
 of the entire 10x20 contiguous block of memory. Often we don't want to see the entire block of memory, but only want to view a subset of the
-underlying data. To do this, we use the ``Slice`` member function of the view class:
+underlying data. To do this, we use the ``slice`` operator:
 
 .. code-block:: cpp
 
-    auto tCube  = t.Slice({3, 5}, {6, 8});                      // Cube of t using rows 3-5 and cols 5-7
-    auto tRectS = t.Slice({0, 0}, {matxEnd, matxEnd}, {2, 2});  // Rectangle with stride of 2 in both dimensions
-    auto tCol   = t.Slice<1>({0, 4}, {matxEnd, matxDropDim});   // Create a 1D tensor with only column 5
-    auto tRow   = t.Slice<1>({4, 0}, {matxDropDim, matxEnd});   // Create a 1D tensor with only row 5
+    auto tCube  = slice(t, {3, 5}, {6, 8});                      // Cube of t using rows 3-5 and cols 5-7
+    auto tRectS = slice(t, {0, 0}, {matxEnd, matxEnd}, {2, 2});  // Rectangle with stride of 2 in both dimensions
+    auto tCol   = slice<1>(t, {0, 4}, {matxEnd, matxDropDim});   // Create a 1D tensor with only column 5
+    auto tRow   = slice<1>(t, {4, 0}, {matxDropDim, matxEnd});   // Create a 1D tensor with only row 5
     
-``Slice`` returns a new view of the tensor using start, stop, and optional stride parameters. Since views are simply
+``slice`` returns a new view of the tensor using start, stop, and optional stride parameters. Since views are simply
 light-weight views into memory, none of these variants modify the data; they return an object with new parameters describing
 how the data is viewed. The resulting variables can be used exactly as the original view above:
 
@@ -134,27 +134,34 @@ All view functions can be used on any type of existing view:
 
 .. code-block:: cpp
 
-    auto tCubeP  = t.Slice({3, 5}, {6, 8}).Permute({1, 0});
+    auto tCubeP  = permute(slice(t, {3, 5}, {6, 8}), {1, 0});
 
 The above code takes the same cube as before, but permutes the cube view by swapping the two dimensions. 
 
+``slice`` is not limited to only tensors; it can be used on any operator as input:
+
+.. code-block:: cpp
+
+    slice(eye(t.Shape()), {3, 5}, {6, 8});
+
 Permuting
 ---------
-Permuting a tensor is done using the ``Permute`` member function of a view:
+Permuting a tensor is done using the ``permute`` function:
 
 .. code-block:: cpp
 
     auto t = make_tensor<float>({10, 20});
-    auto tp = t.Permute({1,0});
+    auto tp = permute(t, {1,0});
 
-``tp`` is now a view into ``t`` where the rows and columns are swapped (transpose). ``Permute`` is not limited to matrices, though:
+``tp`` is now a view into ``t`` where the rows and columns are swapped (transpose). ``permute`` is not limited to matrices, though:
 
 .. code-block:: cpp
 
     auto t4 = make_tensor<float>({10, 20, 5, 2});
-    auto tp4 = t.Permute({1,3,2,0});
+    auto tp4 = permute(t, {1,3,2,0});
 
-``t4p`` is now a permuted view of the original 4D tensor, but with the dimensions swapped as ordered in the initializer list.
+``t4p`` is now a permuted view of the original 4D tensor, but with the dimensions swapped as ordered in the initializer list. Just like
+with ``slice``, ``permute`` works on operators as well.
 
 Note that since no data is moved, permuting a tensor can be detrimental to performance, depending on the context. Permuting usually
 changes the strides of dimensions such that the memory access patterns are no longer optimal, and accessing the permuted view
@@ -166,7 +173,13 @@ a new tensor so that the new layout is contiguous. Using the variables from abov
     auto t4pc = make_tensor<float>(tp4.Shape());
     copy(t4pc, t4p);
 
-``t4pc`` will now contain the permuted data, but in contiguous memory.
+``t4pc`` will now contain the permuted data, but in contiguous memory. Copying a tensor (or operator) can also be done by the assignment 
+operator:
+
+.. code-block:: cpp
+
+    (t4pc = t4p).run();
+
 
 Reshaping
 ---------
@@ -192,7 +205,7 @@ all rows in a matrix, you can clone the tensor to a higher rank to match the oth
     auto t2 = make_tensor<float>({16, 16});
     // ... Initialize tensors
 
-    auto t1c = t1.Clone<2>({16, matxKeepDim});
+    auto t1c = clone<2>(t1, {16, matxKeepDim});
 
 ``t1c`` is now a new tensor view where each row is a replica of the tensor ``t1``. Again, this is just a view and no data was modified or
 allocated, so modifying a row/column in either of these tensors will affect the other. 
@@ -201,9 +214,9 @@ The keyword ``matxKeepDim`` tells MatX which dimensions should be kept from the
 In this example we used it in the columns place of the shape, but we also could have used ``{matxKeepDim, 16}`` and we would have a 2D
 view where all columns of ``t1c`` matches ``t1``.
 
-Note in some cases MatX's *broadcasting* feature can be used instead of ``Clone``. This allows an implicit expansion of ranks during an 
+Note in some cases MatX's *broadcasting* feature can be used instead of ``clone``. This allows an implicit expansion of ranks during an 
 element-wise operation. For example, adding a 4D tensor to a 1D tensor will work as long as the outer dimension of the 4D tensor matches
-that of the 1D tensor. Broadcasting is covered in the documentation. ``Clone`` is much more powerful since it gives more control over which 
+that of the 1D tensor. Broadcasting is covered in the documentation. ``clone`` is much more powerful since it gives more control over which 
 dimensions are cloned instead of assuming the outer dimensions.
 
 Creating a view from an existing pointer
@@ -319,6 +332,7 @@ device, at which point only *one* of these assignments will occur.
 
 Initialization of operators and generators
 ##########################################
+
 As mentioned above, it's common in high-level languages to initialize a tensor/array with a known set of values. For example, generating a range of linearly-
 spaced values, all ones, or a diagonal matrix. These are all operations that do not need to be generated and stored in memory before using since they are 
 all generated from a formula. MatX calls these types of operators a *generator*, indicating that they generate data without storage. 
diff --git a/docs/api/casting/as_double.html b/docs/api/casting/as_double.html
index a4a2676ef..4ec385e63 100644
--- a/docs/api/casting/as_double.html
+++ b/docs/api/casting/as_double.html
@@ -396,6 +396,8 @@
 <li class="toctree-l3 has-children"><a class="reference internal" href="../signalimage/general/index.html">General</a><input class="toctree-checkbox" id="toctree-checkbox-41" name="toctree-checkbox-41" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-41"><i class="fa-solid fa-chevron-down"></i></label><ul>
 <li class="toctree-l4"><a class="reference internal" href="../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
 </ul>
 </li>
 <li class="toctree-l3 has-children"><a class="reference internal" href="../signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/api/casting/as_float.html b/docs/api/casting/as_float.html
index 9bbeaac85..4c9aae5ea 100644
--- a/docs/api/casting/as_float.html
+++ b/docs/api/casting/as_float.html
@@ -396,6 +396,8 @@
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diff --git a/docs/api/manipulation/selecting/index.html b/docs/api/manipulation/selecting/index.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/math/complex/norm.html b/docs/api/math/complex/norm.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/api/math/extrema/rmin.html b/docs/api/math/extrema/rmin.html
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diff --git a/docs/api/math/misc/index.html b/docs/api/math/misc/index.html
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diff --git a/docs/api/math/misc/sqrt.html b/docs/api/math/misc/sqrt.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/math/round/ceil.html b/docs/api/math/round/ceil.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/math/round/floor.html b/docs/api/math/round/floor.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/math/round/index.html b/docs/api/math/round/index.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/math/round/round.html b/docs/api/math/round/round.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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 <li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
 </ul>
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 <li class="toctree-l3 has-children"><a class="reference internal" href="../../signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
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index d68b35712..55d035fd8 100644
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 <li class="toctree-l4"><a class="reference internal" href="../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/random/random.html b/docs/api/random/random.html
index 925bc98f4..b532b963b 100644
--- a/docs/api/random/random.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/api/searchsort/argmax.html b/docs/api/searchsort/argmax.html
index ba0539867..d3dec7d5c 100644
--- a/docs/api/searchsort/argmax.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/searchsort/argmin.html b/docs/api/searchsort/argmin.html
index 40156170d..10c949dad 100644
--- a/docs/api/searchsort/argmin.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/api/searchsort/find.html b/docs/api/searchsort/find.html
index 1ec972187..6549af2de 100644
--- a/docs/api/searchsort/find.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/searchsort/findidx.html b/docs/api/searchsort/findidx.html
index b26d2de06..55abcdceb 100644
--- a/docs/api/searchsort/findidx.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/searchsort/index.html b/docs/api/searchsort/index.html
index 06eca9d91..febc46cd9 100644
--- a/docs/api/searchsort/index.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/api/searchsort/sort.html b/docs/api/searchsort/sort.html
index 4164cc8b3..8901f7ccc 100644
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/searchsort/unique.html b/docs/api/searchsort/unique.html
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 <li class="toctree-l4"><a class="reference internal" href="../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/signalimage/convolution/conv1d.html b/docs/api/signalimage/convolution/conv1d.html
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 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../general/upsample.html">upsample</a></li>
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diff --git a/docs/api/signalimage/convolution/conv2d.html b/docs/api/signalimage/convolution/conv2d.html
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 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
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 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../general/upsample.html">upsample</a></li>
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diff --git a/docs/api/signalimage/filtering/filter.html b/docs/api/signalimage/filtering/filter.html
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 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../general/upsample.html">upsample</a></li>
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 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
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 </li>
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diff --git a/docs/api/signalimage/filtering/resample_poly.html b/docs/api/signalimage/filtering/resample_poly.html
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 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../general/upsample.html">upsample</a></li>
 </ul>
 </li>
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diff --git a/docs/api/signalimage/general/chirp.html b/docs/api/signalimage/general/chirp.html
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-    <link rel="next" title="Radar" href="../radar/index.html" />
+    <link rel="next" title="downsample" href="downsample.html" />
     <link rel="prev" title="General" href="index.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
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@@ -396,6 +396,8 @@
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 <li class="toctree-l4 current active"><a class="current reference internal" href="#">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="upsample.html">upsample</a></li>
 </ul>
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@@ -774,11 +776,11 @@ <h2>Examples<a class="headerlink" href="#id1" title="Permalink to this heading">
       </div>
     </a>
     <a class="right-next"
-       href="../radar/index.html"
+       href="downsample.html"
        title="next page">
       <div class="prev-next-info">
         <p class="prev-next-subtitle">next</p>
-        <p class="prev-next-title">Radar</p>
+        <p class="prev-next-title">downsample</p>
       </div>
       <i class="fa-solid fa-angle-right"></i>
     </a>
diff --git a/docs/api/signalimage/general/downsample.html b/docs/api/signalimage/general/downsample.html
new file mode 100644
index 000000000..e90a9521d
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+++ b/docs/api/signalimage/general/downsample.html
@@ -0,0 +1,759 @@
+
+
+<!DOCTYPE html>
+
+
+<html lang="en" >
+
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+    <title>downsample &#8212; matx  documentation</title>
+  
+  
+  
+  <script data-cfasync="false">
+    document.documentElement.dataset.mode = localStorage.getItem("mode") || "";
+    document.documentElement.dataset.theme = localStorage.getItem("theme") || "light";
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+  
+  <!-- Loaded before other Sphinx assets -->
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+  <section id="downsample">
+<span id="downsample-func"></span><h1>downsample<a class="headerlink" href="#downsample" title="Permalink to this heading">#</a></h1>
+<p>downsample a signal by dropping samples</p>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv4I0EN4matx10downsampleEDaRK1T7int32_t7index_t">
+<span id="_CPPv3I0EN4matx10downsampleERK1T7int32_t7index_t"></span><span id="_CPPv2I0EN4matx10downsampleERK1T7int32_t7index_t"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre">&lt;</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">T</span></span></span><span class="p"><span class="pre">&gt;</span></span><br /><span class="target" id="namespacematx_1acd016973d33ef9a38e6bda037d409c04"></span><span class="pre">__MATX_INLINE__</span><span class="w"> </span><span class="kt"><span class="pre">auto</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">matx</span></span><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">downsample</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><a class="reference internal" href="#_CPPv4I0EN4matx10downsampleEDaRK1T7int32_t7index_t" title="matx::downsample::T"><span class="n"><span class="pre">T</span></span></a><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">op</span></span>, <span class="n"><span class="pre">int32_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">dim</span></span>, <span class="n"><span class="pre">index_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">n</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4I0EN4matx10downsampleEDaRK1T7int32_t7index_t" title="Permalink to this definition">#</a><br /></dt>
+<dd><p>Operator to downsample an operator by dropping samples. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Template Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>T</strong> – Input operator/tensor type </p>
+</dd>
+<dt class="field-even">Parameters<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>op</strong> – Input operator </p></li>
+<li><p><strong>dim</strong> – the factor to downsample </p></li>
+<li><p><strong>n</strong> – Downsample rate </p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Downsample operator </p>
+</dd>
+</dl>
+</dd></dl>
+
+<section id="examples">
+<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this heading">#</a></h2>
+<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="kt">int</span><span class="w"> </span><span class="n">n</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">5</span><span class="p">;</span>
+
+<span class="k">auto</span><span class="w"> </span><span class="n">t1</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">make_tensor</span><span class="o">&lt;</span><span class="n">TestType</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">100</span><span class="p">});</span>
+<span class="p">(</span><span class="n">t1</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">static_cast</span><span class="o">&lt;</span><span class="n">TestType</span><span class="o">&gt;</span><span class="p">(</span><span class="mi">1</span><span class="p">)).</span><span class="n">run</span><span class="p">(</span><span class="n">exec</span><span class="p">);</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">ds_op</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">downsample</span><span class="p">(</span><span class="n">t1</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">,</span><span class="w"> </span><span class="n">n</span><span class="p">);</span>
+</pre></div>
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@@ -396,6 +396,8 @@
 <li class="toctree-l3 current active has-children"><a class="current reference internal" href="#">General</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-41" name="toctree-checkbox-41" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-41"><i class="fa-solid fa-chevron-down"></i></label><ul>
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+<li class="toctree-l4"><a class="reference internal" href="downsample.html">downsample</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../math/arithmetic/mod.html">Modulo (%)</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../../logic/logical/not.html">! (NOT)</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../logic/logical/or.html">|| (OR)</a></li>
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+    <h1>upsample</h1>
+    <!-- Table of contents -->
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+        <div id="jb-print-toc">
+            
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+                <h2> Contents </h2>
+            </div>
+            <nav aria-label="Page">
+                <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples">Examples</a></li>
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+<div id="searchbox"></div>
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+                  
+  <section id="upsample">
+<span id="upsample-func"></span><h1>upsample<a class="headerlink" href="#upsample" title="Permalink to this heading">#</a></h1>
+<p>Upsample a signal by stuffing zeros</p>
+<dl class="cpp function">
+<dt class="sig sig-object cpp" id="_CPPv4I0EN4matx8upsampleEDaRK1T7int32_t7index_t">
+<span id="_CPPv3I0EN4matx8upsampleERK1T7int32_t7index_t"></span><span id="_CPPv2I0EN4matx8upsampleERK1T7int32_t7index_t"></span><span class="k"><span class="pre">template</span></span><span class="p"><span class="pre">&lt;</span></span><span class="k"><span class="pre">typename</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">T</span></span></span><span class="p"><span class="pre">&gt;</span></span><br /><span class="target" id="namespacematx_1a96454b7224053f93b97fdb42c4d78724"></span><span class="pre">__MATX_INLINE__</span><span class="w"> </span><span class="kt"><span class="pre">auto</span></span><span class="w"> </span><span class="sig-prename descclassname"><span class="n"><span class="pre">matx</span></span><span class="p"><span class="pre">::</span></span></span><span class="sig-name descname"><span class="n"><span class="pre">upsample</span></span></span><span class="sig-paren">(</span><span class="k"><span class="pre">const</span></span><span class="w"> </span><a class="reference internal" href="#_CPPv4I0EN4matx8upsampleEDaRK1T7int32_t7index_t" title="matx::upsample::T"><span class="n"><span class="pre">T</span></span></a><span class="w"> </span><span class="p"><span class="pre">&amp;</span></span><span class="n sig-param"><span class="pre">op</span></span>, <span class="n"><span class="pre">int32_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">dim</span></span>, <span class="n"><span class="pre">index_t</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">n</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4I0EN4matx8upsampleEDaRK1T7int32_t7index_t" title="Permalink to this definition">#</a><br /></dt>
+<dd><p>Operator to upsample an operator by inserting zeros between values. </p>
+<dl class="field-list simple">
+<dt class="field-odd">Template Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>T</strong> – Input operator/tensor type </p>
+</dd>
+<dt class="field-even">Parameters<span class="colon">:</span></dt>
+<dd class="field-even"><ul class="simple">
+<li><p><strong>op</strong> – Input operator </p></li>
+<li><p><strong>dim</strong> – the factor to upsample </p></li>
+<li><p><strong>n</strong> – Upsample rate </p></li>
+</ul>
+</dd>
+<dt class="field-odd">Returns<span class="colon">:</span></dt>
+<dd class="field-odd"><p>Upsampled operator </p>
+</dd>
+</dl>
+</dd></dl>
+
+<section id="examples">
+<h2>Examples<a class="headerlink" href="#examples" title="Permalink to this heading">#</a></h2>
+<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="c1">// Upsample a signal of length 100 by 5</span>
+<span class="kt">int</span><span class="w"> </span><span class="n">n</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">5</span><span class="p">;</span>
+
+<span class="k">auto</span><span class="w"> </span><span class="n">t1</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">make_tensor</span><span class="o">&lt;</span><span class="n">TestType</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">100</span><span class="p">});</span>
+<span class="p">(</span><span class="n">t1</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="k">static_cast</span><span class="o">&lt;</span><span class="n">TestType</span><span class="o">&gt;</span><span class="p">(</span><span class="mi">1</span><span class="p">)).</span><span class="n">run</span><span class="p">(</span><span class="n">exec</span><span class="p">);</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">us_op</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">upsample</span><span class="p">(</span><span class="n">t1</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">,</span><span class="w"> </span><span class="n">n</span><span class="p">);</span>
+</pre></div>
+</div>
+</section>
+</section>
+
+
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+    <ul class="visible nav section-nav flex-column">
+<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#examples">Examples</a></li>
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diff --git a/docs/api/signalimage/index.html b/docs/api/signalimage/index.html
index df39a5f65..f738c5022 100644
--- a/docs/api/signalimage/index.html
+++ b/docs/api/signalimage/index.html
@@ -396,6 +396,8 @@
 <li class="toctree-l3 has-children"><a class="reference internal" href="general/index.html">General</a><input class="toctree-checkbox" id="toctree-checkbox-41" name="toctree-checkbox-41" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-41"><i class="fa-solid fa-chevron-down"></i></label><ul>
 <li class="toctree-l4"><a class="reference internal" href="general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="general/upsample.html">upsample</a></li>
 </ul>
 </li>
 <li class="toctree-l3 has-children"><a class="reference internal" href="radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
@@ -614,6 +616,8 @@ <h1>Signal and Image Processing</h1>
 <li class="toctree-l1"><a class="reference internal" href="general/index.html">General</a><ul>
 <li class="toctree-l2"><a class="reference internal" href="general/chirp.html">chirp</a></li>
 <li class="toctree-l2"><a class="reference internal" href="general/chirp.html#cchirp">cchirp</a></li>
+<li class="toctree-l2"><a class="reference internal" href="general/downsample.html">downsample</a></li>
+<li class="toctree-l2"><a class="reference internal" href="general/upsample.html">upsample</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="radar/index.html">Radar</a><ul>
diff --git a/docs/api/signalimage/radar/ambgfun.html b/docs/api/signalimage/radar/ambgfun.html
index 74b39284c..7ce2c4105 100644
--- a/docs/api/signalimage/radar/ambgfun.html
+++ b/docs/api/signalimage/radar/ambgfun.html
@@ -396,6 +396,8 @@
 <li class="toctree-l3 has-children"><a class="reference internal" href="../general/index.html">General</a><input class="toctree-checkbox" id="toctree-checkbox-41" name="toctree-checkbox-41" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-41"><i class="fa-solid fa-chevron-down"></i></label><ul>
 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../general/upsample.html">upsample</a></li>
 </ul>
 </li>
 <li class="toctree-l3 current active has-children"><a class="reference internal" href="index.html">Radar</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
diff --git a/docs/api/signalimage/radar/index.html b/docs/api/signalimage/radar/index.html
index 2babf4c1b..6c397ec10 100644
--- a/docs/api/signalimage/radar/index.html
+++ b/docs/api/signalimage/radar/index.html
@@ -46,7 +46,7 @@
     <link rel="index" title="Index" href="../../../genindex.html" />
     <link rel="search" title="Search" href="../../../search.html" />
     <link rel="next" title="ambgfun" href="ambgfun.html" />
-    <link rel="prev" title="chirp" href="../general/chirp.html" />
+    <link rel="prev" title="upsample" href="../general/upsample.html" />
   <meta name="viewport" content="width=device-width, initial-scale=1"/>
   <meta name="docsearch:language" content="en"/>
   </head>
@@ -396,6 +396,8 @@
 <li class="toctree-l3 has-children"><a class="reference internal" href="../general/index.html">General</a><input class="toctree-checkbox" id="toctree-checkbox-41" name="toctree-checkbox-41" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-41"><i class="fa-solid fa-chevron-down"></i></label><ul>
 <li class="toctree-l4"><a class="reference internal" href="../general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../general/upsample.html">upsample</a></li>
 </ul>
 </li>
 <li class="toctree-l3 current active has-children"><a class="current reference internal" href="#">Radar</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
@@ -620,12 +622,12 @@ <h1>Radar</h1>
     <div class="footer-article-item"><!-- Previous / next buttons -->
 <div class="prev-next-area">
     <a class="left-prev"
-       href="../general/chirp.html"
+       href="../general/upsample.html"
        title="previous page">
       <i class="fa-solid fa-angle-left"></i>
       <div class="prev-next-info">
         <p class="prev-next-subtitle">previous</p>
-        <p class="prev-next-title">chirp</p>
+        <p class="prev-next-title">upsample</p>
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diff --git a/docs/api/signalimage/radar/mvdr.html b/docs/api/signalimage/radar/mvdr.html
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+<li class="toctree-l4"><a class="reference internal" href="../general/downsample.html">downsample</a></li>
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diff --git a/docs/api/stats/avgvar/index.html b/docs/api/stats/avgvar/index.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/api/stats/avgvar/mean.html b/docs/api/stats/avgvar/mean.html
index a4afe6440..1de17c2f3 100644
--- a/docs/api/stats/avgvar/mean.html
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 <li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/stats/avgvar/median.html b/docs/api/stats/avgvar/median.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/stats/avgvar/stdd.html b/docs/api/stats/avgvar/stdd.html
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 <li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/api/stats/corr/corr.html b/docs/api/stats/corr/corr.html
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 <li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/stats/corr/cov.html b/docs/api/stats/corr/cov.html
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+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/api/stats/corr/index.html b/docs/api/stats/corr/index.html
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 <li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/stats/hist/hist.html b/docs/api/stats/hist/hist.html
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--- a/docs/api/stats/hist/hist.html
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 <li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/stats/hist/index.html b/docs/api/stats/hist/index.html
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diff --git a/docs/api/stats/index.html b/docs/api/stats/index.html
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 <li class="toctree-l4"><a class="reference internal" href="../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/type_traits.html b/docs/api/type_traits.html
index 8090201ef..1652e5f67 100644
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 <li class="toctree-l4"><a class="reference internal" href="signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/viz/bar.html b/docs/api/viz/bar.html
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--- a/docs/api/viz/bar.html
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 <li class="toctree-l4"><a class="reference internal" href="../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/viz/contour.html b/docs/api/viz/contour.html
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--- a/docs/api/viz/contour.html
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 <li class="toctree-l4"><a class="reference internal" href="../signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/viz/index.html b/docs/api/viz/index.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/viz/line.html b/docs/api/viz/line.html
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/api/viz/surf.html b/docs/api/viz/surf.html
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diff --git a/docs/api/window/bartlett.html b/docs/api/window/bartlett.html
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diff --git a/docs/api/window/blackman.html b/docs/api/window/blackman.html
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diff --git a/docs/api/window/index.html b/docs/api/window/index.html
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diff --git a/docs/basics/broadcast.html b/docs/basics/broadcast.html
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+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
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+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
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diff --git a/docs/basics/index.html b/docs/basics/index.html
index 1839f77eb..0b02e966e 100644
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+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/basics/matlabpython.html b/docs/basics/matlabpython.html
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 <li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/upsample.html">upsample</a></li>
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 <li class="toctree-l3 has-children"><a class="reference internal" href="../api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/basics/nvtx.html b/docs/basics/nvtx.html
index b22927e75..02329b331 100644
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 <li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/upsample.html">upsample</a></li>
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 <li class="toctree-l3 has-children"><a class="reference internal" href="../api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/basics/print.html b/docs/basics/print.html
index ade4e09ac..a9c1efdd7 100644
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 <li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/upsample.html">upsample</a></li>
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 <li class="toctree-l3 has-children"><a class="reference internal" href="../api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/basics/tensor.html b/docs/basics/tensor.html
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--- a/docs/basics/tensor.html
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 <li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/upsample.html">upsample</a></li>
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 <li class="toctree-l3 has-children"><a class="reference internal" href="../api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/build.html b/docs/build.html
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--- a/docs/build.html
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@@ -396,6 +396,8 @@
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 <li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/upsample.html">upsample</a></li>
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 <li class="toctree-l3 has-children"><a class="reference internal" href="api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/examples/fftconv.html b/docs/examples/fftconv.html
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 <li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/upsample.html">upsample</a></li>
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 <li class="toctree-l3 has-children"><a class="reference internal" href="../api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/examples/index.html b/docs/examples/index.html
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 <li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="../api/signalimage/general/upsample.html">upsample</a></li>
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 </li>
 <li class="toctree-l3 has-children"><a class="reference internal" href="../api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/genindex.html b/docs/genindex.html
index e7efe2c66..236c3bccd 100644
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 <li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/upsample.html">upsample</a></li>
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+</li>
+      <li><a href="api/signalimage/general/downsample.html#_CPPv4I0EN4matx10downsampleEDaRK1T7int32_t7index_t">matx::downsample (C++ function)</a>
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+</li>
+      <li><a href="api/signalimage/general/upsample.html#_CPPv4I0EN4matx8upsampleEDaRK1T7int32_t7index_t">matx::upsample (C++ function)</a>
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diff --git a/docs/index.html b/docs/index.html
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+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/limitations.html b/docs/limitations.html
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 <li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/upsample.html">upsample</a></li>
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diff --git a/docs/quickstart.html b/docs/quickstart.html
index 3fe24c7be..e04916e6e 100644
--- a/docs/quickstart.html
+++ b/docs/quickstart.html
@@ -396,6 +396,8 @@
 <li class="toctree-l3 has-children"><a class="reference internal" href="api/signalimage/general/index.html">General</a><input class="toctree-checkbox" id="toctree-checkbox-41" name="toctree-checkbox-41" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-41"><i class="fa-solid fa-chevron-down"></i></label><ul>
 <li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/upsample.html">upsample</a></li>
 </ul>
 </li>
 <li class="toctree-l3 has-children"><a class="reference internal" href="api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
@@ -676,7 +678,7 @@ <h2>Tensor Views<a class="headerlink" href="#tensor-views" title="Permalink to t
 </div>
 <p>Tensors can also be initialized using initializer list syntax using the <code class="docutils literal notranslate"><span class="pre">SetVals</span></code> function:</p>
 <div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">myT</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">make_tensor</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">3</span><span class="p">,</span><span class="w"> </span><span class="mi">3</span><span class="p">});</span>
-<span class="n">myT</span><span class="p">.</span><span class="n">SetVals</span><span class="p">({</span><span class="w"> </span><span class="p">{</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">4</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">6</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">7</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span><span class="mi">9</span><span class="p">}</span><span class="w"> </span><span class="p">});</span>
+<span class="n">myT</span><span class="p">.</span><span class="n">SetVals</span><span class="p">({{</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">4</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">6</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">7</span><span class="p">,</span><span class="mi">8</span><span class="p">,</span><span class="mi">9</span><span class="p">}});</span>
 </pre></div>
 </div>
 <p>In other languages it’s very common to initialize a tensor with a set of values on creation (ones, zeros, ranges). This will be covered later
@@ -710,14 +712,14 @@ <h2>Getting shapes and sizes<a class="headerlink" href="#getting-shapes-and-size
 <h2>Slicing and dicing<a class="headerlink" href="#slicing-and-dicing" title="Permalink to this heading">#</a></h2>
 <p>As the name implies, <code class="docutils literal notranslate"><span class="pre">t</span></code> is a view into a region of memory. When the initial view is created and memory is allocated, the tensor view is
 of the entire 10x20 contiguous block of memory. Often we don’t want to see the entire block of memory, but only want to view a subset of the
-underlying data. To do this, we use the <code class="docutils literal notranslate"><span class="pre">Slice</span></code> member function of the view class:</p>
-<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">tCube</span><span class="w">  </span><span class="o">=</span><span class="w"> </span><span class="n">t</span><span class="p">.</span><span class="n">Slice</span><span class="p">({</span><span class="mi">3</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">6</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="p">});</span><span class="w">                      </span><span class="c1">// Cube of t using rows 3-5 and cols 5-7</span>
-<span class="k">auto</span><span class="w"> </span><span class="n">tRectS</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">t</span><span class="p">.</span><span class="n">Slice</span><span class="p">({</span><span class="mi">0</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="n">matxEnd</span><span class="p">,</span><span class="w"> </span><span class="n">matxEnd</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">2</span><span class="p">,</span><span class="w"> </span><span class="mi">2</span><span class="p">});</span><span class="w">  </span><span class="c1">// Rectangle with stride of 2 in both dimensions</span>
-<span class="k">auto</span><span class="w"> </span><span class="n">tCol</span><span class="w">   </span><span class="o">=</span><span class="w"> </span><span class="n">t</span><span class="p">.</span><span class="n">Slice</span><span class="o">&lt;</span><span class="mi">1</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">0</span><span class="p">,</span><span class="w"> </span><span class="mi">4</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="n">matxEnd</span><span class="p">,</span><span class="w"> </span><span class="n">matxDropDim</span><span class="p">});</span><span class="w">   </span><span class="c1">// Create a 1D tensor with only column 5</span>
-<span class="k">auto</span><span class="w"> </span><span class="n">tRow</span><span class="w">   </span><span class="o">=</span><span class="w"> </span><span class="n">t</span><span class="p">.</span><span class="n">Slice</span><span class="o">&lt;</span><span class="mi">1</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">4</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="n">matxDropDim</span><span class="p">,</span><span class="w"> </span><span class="n">matxEnd</span><span class="p">});</span><span class="w">   </span><span class="c1">// Create a 1D tensor with only row 5</span>
+underlying data. To do this, we use the <code class="docutils literal notranslate"><span class="pre">slice</span></code> operator:</p>
+<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">tCube</span><span class="w">  </span><span class="o">=</span><span class="w"> </span><span class="n">slice</span><span class="p">(</span><span class="n">t</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">3</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">6</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="p">});</span><span class="w">                      </span><span class="c1">// Cube of t using rows 3-5 and cols 5-7</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">tRectS</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">slice</span><span class="p">(</span><span class="n">t</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">0</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="n">matxEnd</span><span class="p">,</span><span class="w"> </span><span class="n">matxEnd</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">2</span><span class="p">,</span><span class="w"> </span><span class="mi">2</span><span class="p">});</span><span class="w">  </span><span class="c1">// Rectangle with stride of 2 in both dimensions</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">tCol</span><span class="w">   </span><span class="o">=</span><span class="w"> </span><span class="n">slice</span><span class="o">&lt;</span><span class="mi">1</span><span class="o">&gt;</span><span class="p">(</span><span class="n">t</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">0</span><span class="p">,</span><span class="w"> </span><span class="mi">4</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="n">matxEnd</span><span class="p">,</span><span class="w"> </span><span class="n">matxDropDim</span><span class="p">});</span><span class="w">   </span><span class="c1">// Create a 1D tensor with only column 5</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">tRow</span><span class="w">   </span><span class="o">=</span><span class="w"> </span><span class="n">slice</span><span class="o">&lt;</span><span class="mi">1</span><span class="o">&gt;</span><span class="p">(</span><span class="n">t</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">4</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="n">matxDropDim</span><span class="p">,</span><span class="w"> </span><span class="n">matxEnd</span><span class="p">});</span><span class="w">   </span><span class="c1">// Create a 1D tensor with only row 5</span>
 </pre></div>
 </div>
-<p><code class="docutils literal notranslate"><span class="pre">Slice</span></code> returns a new view of the tensor using start, stop, and optional stride parameters. Since views are simply
+<p><code class="docutils literal notranslate"><span class="pre">slice</span></code> returns a new view of the tensor using start, stop, and optional stride parameters. Since views are simply
 light-weight views into memory, none of these variants modify the data; they return an object with new parameters describing
 how the data is viewed. The resulting variables can be used exactly as the original view above:</p>
 <div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">cubeRows</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">tCube</span><span class="p">.</span><span class="n">Size</span><span class="p">(</span><span class="mi">0</span><span class="p">);</span><span class="w"> </span><span class="c1">// 3</span>
@@ -727,24 +729,29 @@ <h2>Slicing and dicing<a class="headerlink" href="#slicing-and-dicing" title="Pe
 </pre></div>
 </div>
 <p>All view functions can be used on any type of existing view:</p>
-<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">tCubeP</span><span class="w">  </span><span class="o">=</span><span class="w"> </span><span class="n">t</span><span class="p">.</span><span class="n">Slice</span><span class="p">({</span><span class="mi">3</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">6</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="p">}).</span><span class="n">Permute</span><span class="p">({</span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">});</span>
+<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">tCubeP</span><span class="w">  </span><span class="o">=</span><span class="w"> </span><span class="n">permute</span><span class="p">(</span><span class="n">slice</span><span class="p">(</span><span class="n">t</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">3</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">6</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="p">}),</span><span class="w"> </span><span class="p">{</span><span class="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">0</span><span class="p">});</span>
 </pre></div>
 </div>
 <p>The above code takes the same cube as before, but permutes the cube view by swapping the two dimensions.</p>
+<p><code class="docutils literal notranslate"><span class="pre">slice</span></code> is not limited to only tensors; it can be used on any operator as input:</p>
+<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="n">slice</span><span class="p">(</span><span class="n">eye</span><span class="p">(</span><span class="n">t</span><span class="p">.</span><span class="n">Shape</span><span class="p">()),</span><span class="w"> </span><span class="p">{</span><span class="mi">3</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">},</span><span class="w"> </span><span class="p">{</span><span class="mi">6</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="p">});</span>
+</pre></div>
+</div>
 </section>
 <section id="permuting">
 <h2>Permuting<a class="headerlink" href="#permuting" title="Permalink to this heading">#</a></h2>
-<p>Permuting a tensor is done using the <code class="docutils literal notranslate"><span class="pre">Permute</span></code> member function of a view:</p>
+<p>Permuting a tensor is done using the <code class="docutils literal notranslate"><span class="pre">permute</span></code> function:</p>
 <div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">t</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">make_tensor</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">10</span><span class="p">,</span><span class="w"> </span><span class="mi">20</span><span class="p">});</span>
-<span class="k">auto</span><span class="w"> </span><span class="n">tp</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">t</span><span class="p">.</span><span class="n">Permute</span><span class="p">({</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">});</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">tp</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">permute</span><span class="p">(</span><span class="n">t</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">1</span><span class="p">,</span><span class="mi">0</span><span class="p">});</span>
 </pre></div>
 </div>
-<p><code class="docutils literal notranslate"><span class="pre">tp</span></code> is now a view into <code class="docutils literal notranslate"><span class="pre">t</span></code> where the rows and columns are swapped (transpose). <code class="docutils literal notranslate"><span class="pre">Permute</span></code> is not limited to matrices, though:</p>
+<p><code class="docutils literal notranslate"><span class="pre">tp</span></code> is now a view into <code class="docutils literal notranslate"><span class="pre">t</span></code> where the rows and columns are swapped (transpose). <code class="docutils literal notranslate"><span class="pre">permute</span></code> is not limited to matrices, though:</p>
 <div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="k">auto</span><span class="w"> </span><span class="n">t4</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">make_tensor</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">10</span><span class="p">,</span><span class="w"> </span><span class="mi">20</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">,</span><span class="w"> </span><span class="mi">2</span><span class="p">});</span>
-<span class="k">auto</span><span class="w"> </span><span class="n">tp4</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">t</span><span class="p">.</span><span class="n">Permute</span><span class="p">({</span><span class="mi">1</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">});</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">tp4</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">permute</span><span class="p">(</span><span class="n">t</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">1</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">0</span><span class="p">});</span>
 </pre></div>
 </div>
-<p><code class="docutils literal notranslate"><span class="pre">t4p</span></code> is now a permuted view of the original 4D tensor, but with the dimensions swapped as ordered in the initializer list.</p>
+<p><code class="docutils literal notranslate"><span class="pre">t4p</span></code> is now a permuted view of the original 4D tensor, but with the dimensions swapped as ordered in the initializer list. Just like
+with <code class="docutils literal notranslate"><span class="pre">slice</span></code>, <code class="docutils literal notranslate"><span class="pre">permute</span></code> works on operators as well.</p>
 <p>Note that since no data is moved, permuting a tensor can be detrimental to performance, depending on the context. Permuting usually
 changes the strides of dimensions such that the memory access patterns are no longer optimal, and accessing the permuted view
 continuously can be very slow. If a permuted view will be accessed repeatedly, it’s recommended to copy the permuted view into
@@ -753,7 +760,11 @@ <h2>Permuting<a class="headerlink" href="#permuting" title="Permalink to this he
 <span class="n">copy</span><span class="p">(</span><span class="n">t4pc</span><span class="p">,</span><span class="w"> </span><span class="n">t4p</span><span class="p">);</span>
 </pre></div>
 </div>
-<p><code class="docutils literal notranslate"><span class="pre">t4pc</span></code> will now contain the permuted data, but in contiguous memory.</p>
+<p><code class="docutils literal notranslate"><span class="pre">t4pc</span></code> will now contain the permuted data, but in contiguous memory. Copying a tensor (or operator) can also be done by the assignment
+operator:</p>
+<div class="highlight-cpp notranslate"><div class="highlight"><pre><span></span><span class="p">(</span><span class="n">t4pc</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">t4p</span><span class="p">).</span><span class="n">run</span><span class="p">();</span>
+</pre></div>
+</div>
 </section>
 <section id="reshaping">
 <h2>Reshaping<a class="headerlink" href="#reshaping" title="Permalink to this heading">#</a></h2>
@@ -776,7 +787,7 @@ <h2>Increasing dimensionality<a class="headerlink" href="#increasing-dimensional
 <span class="k">auto</span><span class="w"> </span><span class="n">t2</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">make_tensor</span><span class="o">&lt;</span><span class="kt">float</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">16</span><span class="p">,</span><span class="w"> </span><span class="mi">16</span><span class="p">});</span>
 <span class="c1">// ... Initialize tensors</span>
 
-<span class="k">auto</span><span class="w"> </span><span class="n">t1c</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">t1</span><span class="p">.</span><span class="n">Clone</span><span class="o">&lt;</span><span class="mi">2</span><span class="o">&gt;</span><span class="p">({</span><span class="mi">16</span><span class="p">,</span><span class="w"> </span><span class="n">matxKeepDim</span><span class="p">});</span>
+<span class="k">auto</span><span class="w"> </span><span class="n">t1c</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">clone</span><span class="o">&lt;</span><span class="mi">2</span><span class="o">&gt;</span><span class="p">(</span><span class="n">t1</span><span class="p">,</span><span class="w"> </span><span class="p">{</span><span class="mi">16</span><span class="p">,</span><span class="w"> </span><span class="n">matxKeepDim</span><span class="p">});</span>
 </pre></div>
 </div>
 <p><code class="docutils literal notranslate"><span class="pre">t1c</span></code> is now a new tensor view where each row is a replica of the tensor <code class="docutils literal notranslate"><span class="pre">t1</span></code>. Again, this is just a view and no data was modified or
@@ -784,9 +795,9 @@ <h2>Increasing dimensionality<a class="headerlink" href="#increasing-dimensional
 <p>The keyword <code class="docutils literal notranslate"><span class="pre">matxKeepDim</span></code> tells MatX which dimensions should be kept from the original tensor and where it should be in the new tensor.
 In this example we used it in the columns place of the shape, but we also could have used <code class="docutils literal notranslate"><span class="pre">{matxKeepDim,</span> <span class="pre">16}</span></code> and we would have a 2D
 view where all columns of <code class="docutils literal notranslate"><span class="pre">t1c</span></code> matches <code class="docutils literal notranslate"><span class="pre">t1</span></code>.</p>
-<p>Note in some cases MatX’s <em>broadcasting</em> feature can be used instead of <code class="docutils literal notranslate"><span class="pre">Clone</span></code>. This allows an implicit expansion of ranks during an
+<p>Note in some cases MatX’s <em>broadcasting</em> feature can be used instead of <code class="docutils literal notranslate"><span class="pre">clone</span></code>. This allows an implicit expansion of ranks during an
 element-wise operation. For example, adding a 4D tensor to a 1D tensor will work as long as the outer dimension of the 4D tensor matches
-that of the 1D tensor. Broadcasting is covered in the documentation. <code class="docutils literal notranslate"><span class="pre">Clone</span></code> is much more powerful since it gives more control over which
+that of the 1D tensor. Broadcasting is covered in the documentation. <code class="docutils literal notranslate"><span class="pre">clone</span></code> is much more powerful since it gives more control over which
 dimensions are cloned instead of assuming the outer dimensions.</p>
 </section>
 <section id="creating-a-view-from-an-existing-pointer">
diff --git a/docs/search.html b/docs/search.html
index 71e39e568..47cfcf24c 100644
--- a/docs/search.html
+++ b/docs/search.html
@@ -395,6 +395,8 @@
 <li class="toctree-l3 has-children"><a class="reference internal" href="api/signalimage/general/index.html">General</a><input class="toctree-checkbox" id="toctree-checkbox-41" name="toctree-checkbox-41" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-41"><i class="fa-solid fa-chevron-down"></i></label><ul>
 <li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/chirp.html">chirp</a></li>
 
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/downsample.html">downsample</a></li>
+<li class="toctree-l4"><a class="reference internal" href="api/signalimage/general/upsample.html">upsample</a></li>
 </ul>
 </li>
 <li class="toctree-l3 has-children"><a class="reference internal" href="api/signalimage/radar/index.html">Radar</a><input class="toctree-checkbox" id="toctree-checkbox-42" name="toctree-checkbox-42" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-42"><i class="fa-solid fa-chevron-down"></i></label><ul>
diff --git a/docs/searchindex.js b/docs/searchindex.js
index a34cb9414..967bc6dc9 100644
--- a/docs/searchindex.js
+++ b/docs/searchindex.js
@@ -1 +1 @@
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58, 59, 60, 62, 63, 65, 66, 67, 68, 69, 71, 72, 73, 75, 77, 78, 79, 80, 82, 86, 87, 89, 90, 91, 93, 94, 97, 98, 100, 101, 103, 105, 106, 107, 108, 109, 110, 112, 113, 114, 115, 116, 117, 118, 122, 124, 125, 127, 128, 129, 131, 132, 133, 134, 136, 138, 139, 140, 141, 143, 144, 146, 147, 148, 149, 150, 151, 152, 153, 155, 156, 158, 159, 161, 162, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 176, 178, 179, 182, 186, 187, 188, 189, 190, 193, 196, 197, 198, 200, 201, 202, 203, 204, 205, 206, 207, 209, 211, 212, 213, 215, 218, 220, 221], "given": [12, 55, 102, 165, 193, 210, 218], "valu": [12, 13, 15, 16, 17, 18, 19, 21, 38, 43, 48, 49, 50, 51, 58, 74, 79, 80, 83, 84, 89, 101, 105, 106, 107, 118, 124, 125, 133, 134, 136, 138, 139, 143, 147, 165, 166, 167, 168, 169, 172, 179, 182, 186, 187, 196, 197, 198, 201, 202, 203, 204, 205, 206, 207, 209, 210, 213, 214, 215, 216, 218, 222], "while": [12, 55, 105, 168, 169, 176, 210, 211, 213, 214, 216, 217, 218, 220, 222], "pull": 12, "element": [12, 13, 18, 20, 32, 57, 62, 87, 89, 101, 102, 105, 106, 109, 113, 118, 122, 125, 127, 128, 129, 131, 132, 133, 134, 136, 140, 141, 143, 146, 147, 148, 149, 150, 151, 152, 153, 155, 156, 158, 159, 161, 162, 168, 169, 171, 172, 179, 186, 187, 193, 213, 215, 216, 218, 222], "from": [12, 17, 22, 23, 25, 26, 28, 30, 41, 43, 44, 47, 48, 49, 52, 55, 58, 59, 82, 83, 84, 86, 87, 89, 103, 105, 106, 107, 119, 160, 165, 168, 169, 176, 179, 182, 186, 197, 198, 200, 201, 202, 206, 209, 213, 214, 215, 216, 217, 220], "t1": [12, 15, 16, 18, 19, 20, 30, 32, 33, 34, 35, 36, 44, 47, 48, 49, 52, 57, 83, 84, 87, 91, 93, 94, 95, 97, 98, 107, 119, 138, 144, 154, 160, 164, 168, 169, 171, 172, 179, 182, 188, 189, 191, 193, 198, 202, 209, 211, 222], "get": [12, 165, 210, 213, 216, 220], "take": [12, 55, 91, 93, 94, 147, 210, 213, 215, 216, 220, 222], "onli": [12, 22, 30, 40, 42, 44, 47, 48, 49, 52, 55, 58, 59, 83, 84, 86, 168, 169, 172, 176, 187, 191, 202, 210, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222], "tc": 12, "initi": [12, 50, 51, 105, 165, 210, 216, 218], "int": [12, 13, 15, 16, 18, 19, 20, 22, 25, 26, 27, 28, 50, 51, 55, 58, 60, 62, 79, 80, 86, 87, 89, 90, 93, 94, 96, 100, 101, 102, 106, 133, 134, 138, 146, 147, 164, 165, 166, 167, 171, 186, 187, 188, 189, 203, 204, 205, 206, 207, 210, 214, 216, 222], "0": [12, 13, 15, 16, 17, 19, 20, 22, 23, 25, 26, 27, 28, 32, 44, 46, 47, 48, 49, 50, 51, 52, 55, 58, 59, 60, 79, 80, 82, 86, 87, 90, 91, 95, 96, 100, 101, 102, 103, 105, 106, 107, 110, 133, 134, 138, 144, 146, 147, 164, 165, 166, 167, 168, 169, 171, 172, 173, 174, 176, 178, 179, 182, 186, 187, 188, 189, 190, 191, 193, 203, 204, 205, 206, 207, 213, 215, 216, 217, 218, 222], "j": [12, 25, 55, 91, 95, 125, 138, 217], "val": [12, 91, 216], "static_cast": [12, 25, 55, 95, 100, 210], "detail": [12, 22, 86, 95, 105, 196, 212, 214, 216], "value_promote_t": [12, 95], "assign": [12, 16, 17, 32, 179, 203, 204, 205, 206, 207, 209, 211, 216, 218, 220], "rank": [12, 13, 15, 16, 18, 19, 20, 22, 23, 44, 47, 48, 49, 50, 51, 52, 55, 58, 82, 86, 87, 89, 91, 96, 100, 103, 105, 106, 107, 138, 144, 146, 147, 164, 165, 171, 176, 182, 186, 187, 188, 189, 191, 193, 197, 198, 200, 201, 202, 203, 204, 205, 206, 207, 209, 210, 215, 216, 218, 222], "": [12, 13, 15, 16, 18, 19, 20, 22, 23, 30, 33, 34, 35, 36, 41, 49, 50, 51, 52, 55, 82, 86, 90, 100, 102, 103, 168, 169, 176, 178, 203, 204, 205, 206, 207, 209, 210, 214, 216, 217, 218], "all": [12, 13, 18, 20, 25, 26, 27, 28, 38, 44, 47, 48, 49, 51, 52, 55, 74, 81, 91, 133, 134, 138, 146, 147, 164, 165, 168, 169, 172, 186, 187, 209, 210, 211, 213, 214, 215, 216, 217, 218, 220, 221, 222], "otherwis": [12, 13, 79, 84, 105, 222], "In": [12, 13, 44, 47, 48, 52, 55, 105, 106, 193, 209, 210, 212, 213, 215, 216, 218, 221, 222], "other": [12, 13, 30, 38, 52, 54, 55, 82, 87, 133, 134, 193, 209, 210, 211, 216, 217, 221, 222], "word": [12, 13, 193], "index": [12, 13, 17, 19, 33, 34, 35, 36, 90, 105, 106, 107, 165, 166, 167, 196, 213, 216, 217, 221], "everi": [12, 13, 82, 87, 91, 118, 122, 127, 128, 129, 136, 140, 141, 143, 148, 149, 150, 151, 152, 153, 155, 156, 158, 159, 161, 162, 173, 209, 213, 214, 215, 220, 222], "dimens": [12, 13, 15, 16, 19, 25, 26, 27, 28, 33, 34, 35, 36, 55, 58, 59, 79, 80, 82, 86, 87, 89, 90, 91, 93, 94, 95, 96, 100, 101, 102, 103, 105, 106, 133, 134, 138, 144, 146, 147, 164, 165, 166, 167, 171, 182, 186, 187, 188, 189, 193, 198, 202, 203, 204, 205, 206, 207, 209, 213, 215, 216, 222], "same": [12, 13, 25, 26, 27, 28, 30, 35, 36, 44, 47, 48, 52, 55, 58, 59, 79, 80, 82, 83, 84, 86, 96, 103, 106, 107, 118, 168, 169, 172, 173, 209, 210, 211, 214, 215, 216, 218, 222], "arrai": [12, 15, 18, 20, 22, 58, 79, 80, 86, 89, 95, 106, 133, 134, 138, 146, 147, 164, 165, 166, 167, 176, 186, 187, 188, 189, 203, 206, 207, 213, 216, 222], "2d": [12, 26, 28, 34, 36, 40, 42, 79, 80, 105, 106, 133, 134, 147, 166, 167, 171, 174, 182, 213, 216, 222], "3d": [12, 25, 26, 27, 28, 55, 89, 147, 165, 213, 216], "4d": [12, 55, 79, 80, 100, 105, 133, 134, 147, 166, 167, 216, 222], "set": [12, 15, 16, 18, 25, 27, 55, 79, 80, 138, 146, 168, 169, 211, 212, 216, 217, 218, 222], "c": [12, 22, 55, 58, 59, 83, 133, 134, 138, 188, 191, 203, 206, 207, 211, 213, 214, 217, 220, 221, 222], "count": [12, 13, 15, 16, 18, 19, 20, 62, 165, 179, 210, 216], "t3": [12, 13, 87, 138, 154, 160, 164, 209], "t4": [12, 13, 79, 80, 87, 133, 134, 147, 166, 167, 186, 222], "diag2": 12, "diag3": 12, "diag4": 12, "ident": [13, 211, 216, 217, 218, 222], "shapetyp": [13, 15, 16, 18, 19, 20, 22, 100, 165, 203, 204, 205, 206, 207, 210, 216], "std": [13, 15, 16, 18, 19, 20, 22, 40, 41, 42, 43, 55, 58, 86, 89, 100, 105, 164, 165, 176, 179, 196, 197, 198, 200, 201, 202, 203, 204, 205, 206, 207, 210, 211, 216], "enable_if_t": [13, 15, 16, 18, 19, 20, 22, 100, 105, 165, 203, 204, 205, 206, 207, 216], "is_array_v": [13, 15, 16, 18, 19, 20, 22, 100, 165, 203, 204, 205, 206, 207], "remove_cvref": [13, 15, 16, 18, 19, 20, 22, 100, 165, 196, 203, 204, 205, 206, 207, 216], "bool": [13, 15, 16, 18, 19, 20, 22, 40, 100, 105, 165, 196, 203, 204, 205, 206, 207, 216], "true": [13, 15, 16, 18, 19, 20, 22, 40, 79, 80, 83, 84, 100, 105, 165, 196, 203, 204, 205, 206, 207, 216], "pattern": [13, 222], "eye2": 13, "eye3": 13, "eye4": 13, "For": [13, 55, 83, 84, 103, 105, 136, 144, 171, 187, 209, 210, 211, 212, 215, 216, 217, 218, 220, 221, 222], "each": [13, 50, 51, 55, 86, 87, 89, 90, 95, 96, 100, 106, 107, 124, 125, 138, 139, 165, 171, 179, 186, 187, 193, 198, 200, 202, 210, 211, 215, 216, 217, 218, 220, 222], "where": [13, 22, 25, 27, 33, 34, 35, 36, 50, 51, 52, 58, 59, 79, 90, 91, 96, 105, 125, 165, 169, 171, 173, 182, 210, 213, 216, 221, 222], "everywher": 13, "els": [13, 84], "linearli": [15, 179, 222], "space": [15, 16, 19, 22, 32, 179, 217, 222], "number": [15, 16, 19, 32, 38, 50, 51, 55, 57, 83, 84, 93, 94, 95, 105, 106, 117, 120, 122, 123, 133, 134, 135, 136, 146, 147, 168, 169, 172, 176, 179, 186, 187, 193, 215, 216, 218, 220], "first": [15, 16, 19, 30, 34, 36, 55, 57, 83, 84, 96, 102, 107, 173, 174, 182, 190, 209, 210, 213, 215, 216, 217, 218, 220, 222], "last": [15, 16, 25, 26, 27, 28, 33, 34, 35, 36, 58, 103, 147, 164, 179, 193, 210, 215, 216, 218, 222], "step": [15, 16, 19, 55, 179, 217, 218, 222], "size": [15, 16, 19, 23, 25, 27, 30, 32, 33, 34, 35, 36, 50, 51, 55, 79, 80, 82, 86, 89, 91, 100, 103, 106, 138, 164, 165, 168, 169, 172, 173, 179, 188, 189, 193, 201, 202, 203, 204, 205, 206, 207, 209, 210, 215, 216, 218, 220], "determin": [15, 16, 19, 138, 193, 196, 215, 217, 218, 222], "shape": [15, 16, 18, 19, 20, 22, 55, 62, 87, 89, 165, 196, 203, 204, 205, 206, 207, 215, 216, 220], "dim": [15, 16, 19, 79, 80, 86, 90, 93, 94, 101, 102, 103, 106, 133, 134, 138, 146, 147, 166, 167, 186, 187, 188, 189, 203, 204, 205, 206, 207, 216], "start": [15, 16, 19, 33, 34, 35, 36, 87, 212, 213, 216, 220], "end": [15, 16, 55, 87, 179, 213, 214, 216, 222], "ar": [15, 16, 17, 23, 25, 26, 27, 28, 40, 41, 42, 48, 50, 51, 52, 55, 59, 79, 80, 83, 84, 103, 105, 138, 165, 168, 169, 171, 172, 176, 182, 196, 198, 200, 202, 209, 210, 211, 213, 214, 216, 217, 218, 220, 221, 222], "apart": [15, 16], "over": [15, 16, 22, 58, 59, 79, 80, 105, 133, 134, 138, 144, 146, 147, 166, 167, 186, 187, 188, 189, 191, 203, 204, 205, 206, 207, 210, 217, 218, 221, 222], "distanc": [15, 16], "select": [15, 16, 38, 87, 88, 106, 168, 169, 187, 203, 204, 205, 206, 207, 213, 214], "object": [15, 16, 22, 82, 165, 210, 216, 218, 222], "100": [15, 18, 19, 20, 50, 51, 87, 165, 222], "point": [15, 17, 87, 196, 198, 202, 211, 216, 217, 218, 222], "between": [15, 30, 82, 86, 105, 138, 179, 193, 210, 213, 216, 221], "logarithm": [16, 38, 127, 128, 129, 135], "log10": [16, 38, 126, 135], "20": [16, 55, 87, 209, 210, 215, 222], "tensor_t": [16, 19, 22, 58, 95, 210, 216, 218, 222], "0f": [16, 193, 218, 222], "stop": [16, 213, 216, 222], "2": [16, 25, 26, 27, 28, 33, 34, 35, 36, 48, 55, 57, 58, 79, 80, 86, 87, 90, 91, 93, 94, 95, 100, 129, 133, 134, 136, 138, 144, 147, 164, 166, 167, 174, 187, 210, 213, 215, 216, 217, 218, 221, 222], "matrix": [17, 38, 44, 47, 48, 49, 52, 54, 57, 59, 60, 62, 95, 182, 191, 213, 216, 222], "vector": [17, 22, 38, 50, 51, 52, 54, 59, 138, 176, 179, 182, 210, 222], "mesh": 17, "grid": 17, "list": [17, 55, 101, 102, 106, 165, 216, 217, 220, 221, 222], "n": [17, 32, 49, 50, 51, 58, 87, 89, 106, 164, 171, 189, 213, 216, 218, 221], "rank1": 17, "defin": [17, 22, 83, 84, 133, 134, 138, 154, 160, 168, 169, 210, 212, 214, 217], "rankn": 17, "cartisian": [17, 154], "transpos": [17, 38, 48, 49, 55, 86, 88, 99, 119, 213, 221, 222], "xv": [17, 23, 182], "dtype": [17, 57], "yd": 17, "xd": 17, "yv": 17, "x": [17, 19, 51, 55, 60, 124, 125, 136, 138, 154, 160, 164, 182, 197, 198, 200, 201, 202, 203, 204, 205, 207, 218], "y": [17, 136, 154, 160, 182, 197, 198, 200, 201, 202, 203, 204, 205, 207], "extent": 17, "xx": 17, "yy": 17, "one": [18, 50, 51, 55, 89, 96, 102, 193, 198, 202, 210, 216, 220, 222], "Ones": 18, "alwai": [18, 20, 106, 210, 220, 222], "It": [18, 20, 165, 168, 169, 176, 216, 217, 222], "can": [18, 20, 55, 86, 87, 100, 101, 103, 106, 165, 168, 169, 172, 176, 184, 189, 206, 209, 210, 213, 214, 215, 216, 217, 218, 219, 222], "place": [18, 20, 44, 47, 48, 52, 86, 103, 165, 210, 212, 218, 222], "memset": [18, 20], "total": [19, 91, 100, 210], "base": [19, 23, 25, 26, 27, 28, 46, 55, 58, 101, 106, 107, 127, 128, 129, 154, 165, 168, 169, 176, 210, 213, 214, 215, 216], "along": [19, 25, 27, 55, 58, 90, 96, 101, 102, 106, 203, 204, 205, 206, 207], "block": [20, 25, 27, 50, 222], "memori": [20, 22, 25, 27, 86, 165, 171, 209, 210, 213, 215, 216, 222], "pointer": [21, 210, 216, 220], "util": [22, 31, 38, 210, 214, 216, 217], "possibl": [22, 55, 165, 210, 211, 214, 221], "prefer": [22, 55, 58, 59, 191, 210, 218, 220], "directli": [22, 58, 59, 176, 191, 210, 213, 216, 217, 218, 220, 222], "declar": [22, 210, 214, 217], "sinc": [22, 25, 27, 30, 55, 58, 59, 82, 103, 107, 165, 176, 187, 191, 210, 211, 216, 218, 221, 222], "allow": [22, 41, 55, 102, 103, 209, 210, 214, 215, 216, 218, 221, 222], "chang": [22, 25, 27, 86, 103, 209, 213, 214, 216, 217, 218, 222], "futur": [22, 25, 27, 55, 171, 216, 221], "without": [22, 55, 58, 59, 86, 176, 191, 210, 215, 216, 217, 218, 220, 222], "break": 22, "see": [22, 44, 47, 48, 49, 52, 210, 216, 217, 220, 222], "walkthrough": 22, "provid": [22, 44, 47, 48, 49, 52, 55, 58, 59, 106, 107, 165, 176, 179, 210, 211, 214, 216, 217, 219, 221, 222], "numer": [22, 109, 216, 220], "overload": [22, 25, 27, 211, 214, 222], "argument": [22, 55, 210, 216, 217, 222], "case": [22, 44, 47, 48, 52, 55, 101, 106, 210, 215, 218, 222], "matxmemoryspace_t": 22, "matx_managed_memori": 22, "cudastream_t": [22, 23, 25, 26, 27, 28, 44, 46, 47, 48, 49, 50, 51, 52, 55, 58, 59, 60, 82, 86, 105, 138, 173, 174, 176, 178, 182, 190, 191, 193, 216], "stream": [22, 23, 25, 26, 27, 28, 44, 46, 47, 48, 49, 50, 51, 52, 55, 58, 59, 60, 62, 79, 80, 82, 86, 103, 105, 133, 134, 138, 166, 167, 168, 169, 173, 174, 176, 178, 182, 188, 189, 190, 191, 193, 210, 216, 218, 222], "implicitli": [22, 210, 222], "alloc": [22, 165, 171, 216, 218, 222], "default": [22, 32, 51, 138, 189, 210, 211, 214, 217], "mang": 22, "cuda": [22, 23, 25, 26, 27, 28, 44, 46, 47, 48, 49, 50, 51, 52, 55, 58, 59, 60, 62, 79, 80, 86, 103, 105, 133, 134, 138, 146, 147, 166, 167, 168, 169, 171, 172, 173, 174, 176, 178, 179, 182, 186, 187, 188, 189, 190, 191, 193, 196, 210, 211, 216, 217, 220, 221, 222], "applic": [22, 196, 210, 217, 220], "async": 22, "new": [22, 25, 26, 27, 28, 33, 34, 35, 36, 55, 57, 58, 59, 82, 86, 87, 90, 95, 96, 100, 102, 164, 165, 191, 197, 198, 200, 201, 202, 210, 216, 220, 222], "tensortyp": [22, 40, 41, 42, 43, 197, 200, 201], "is_tensor_view_v": [22, 196], "void": [22, 23, 25, 26, 27, 28, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 55, 58, 59, 60, 62, 79, 80, 82, 86, 103, 105, 133, 134, 138, 144, 146, 147, 166, 167, 168, 169, 171, 172, 173, 174, 176, 178, 182, 186, 187, 188, 189, 190, 191, 193, 197, 198, 200, 201, 202, 214, 216], "store": [22, 44, 46, 47, 48, 52, 55, 105, 106, 107, 146, 165, 168, 169, 173, 186, 187, 209, 210, 215, 218, 222], "newli": 22, "is_matx_shape_v": [22, 196], "is_matx_descriptor_v": [22, 196, 216], "conform": 22, "have": [22, 41, 50, 51, 55, 58, 171, 209, 210, 211, 217, 218, 220, 222], "sequenti": 22, "iter": [22, 49, 50, 51, 60, 210], "both": [22, 25, 27, 55, 58, 59, 79, 80, 82, 86, 103, 105, 133, 134, 166, 167, 171, 182, 191, 197, 209, 210, 211, 213, 214, 216, 217, 218, 222], "non": [22, 55, 73, 79, 80, 176, 210, 216], "meet": [22, 107, 168, 169, 172, 210], "thi": [22, 23, 25, 26, 27, 28, 30, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 55, 58, 59, 82, 86, 100, 101, 102, 103, 106, 107, 133, 134, 136, 138, 144, 164, 165, 168, 169, 171, 172, 173, 174, 176, 190, 191, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222], "criteria": [22, 107, 168, 169, 172], "manag": [22, 210, 214, 216, 217, 222], 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"tanh", "Polynomials", "legendre", "Random Number Generation", "argmax", "argmin", "find", "find_idx", "Searching and Sorting", "sort", "unique", "conv1d", "conv2d", "Convolution", "filter", "Filtering", "resample_poly", "chirp", "downsample", "General", "upsample", "Signal and Image Processing", "ambgfun", "Radar", "MVDR", "Averages and Variances", "mean", "median", "stdd", "var", "corr", "cov", "Correlating", "hist", "Histograms", "Statistics", "Type Traits", "bar", "contour", "Visualization", "line", "scatter", "surf", "bartlett", "blackman", "flattop", "hamming", "hanning", "Windowing", "Broadcasting", "Creating Tensors", "Data Types", "Basics", "MatX For MATLAB/NumPy Users", "NVTX Profiling", "Printing", "Tensor Type", "Build Integration", "FFT Convolution", "Example Applications", "Welcome To MatX\u2019s Documentation!", "Limitations", "Quick Start"], "terms": {"cast": [0, 1, 2, 3, 4, 5, 6, 7, 8, 36, 218], "an": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 17, 19, 21, 24, 29, 31, 32, 33, 34, 40, 41, 44, 45, 50, 52, 78, 79, 80, 82, 83, 85, 87, 91, 93, 94, 96, 97, 98, 99, 102, 115, 116, 119, 140, 142, 161, 164, 165, 172, 176, 178, 180, 182, 185, 187, 195, 196, 198, 199, 200, 207, 208, 212, 213, 214, 215, 216, 217, 218, 219], "oper": [0, 1, 2, 3, 4, 5, 6, 7, 8, 14, 15, 16, 17, 18, 19, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 36, 40, 41, 46, 48, 49, 52, 54, 55, 56, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 73, 74, 78, 79, 80, 82, 83, 85, 86, 87, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, 123, 124, 125, 127, 128, 129, 130, 131, 132, 135, 136, 137, 139, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 160, 161, 162, 163, 164, 165, 169, 170, 172, 174, 175, 176, 178, 188, 194, 201, 202, 203, 204, 205, 207, 208, 209, 211, 213, 214, 216, 218, 219], "doubl": [0, 57, 167, 180, 209], "templat": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 57, 59, 75, 76, 78, 79, 80, 82, 83, 85, 86, 87, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 101, 102, 103, 115, 129, 130, 134, 140, 142, 143, 150, 156, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 175, 176, 178, 180, 184, 185, 186, 187, 188, 189, 191, 194, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 208, 214, 220], "typenam": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 57, 59, 75, 76, 78, 79, 80, 82, 83, 85, 86, 87, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 101, 102, 103, 115, 129, 130, 134, 140, 142, 143, 150, 156, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 175, 176, 178, 180, 184, 185, 186, 187, 188, 189, 191, 194, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 208, 214], "t": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 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102, 103, 115, 129, 130, 134, 142, 143, 150, 156, 160, 161, 162, 163, 176, 178, 184, 185, 186, 187, 188, 214], "matx": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 73, 74, 75, 76, 78, 79, 80, 82, 83, 85, 86, 87, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, 123, 124, 125, 127, 128, 129, 130, 132, 134, 135, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 175, 176, 178, 180, 184, 185, 186, 187, 188, 189, 191, 194, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 207, 209, 210, 213, 214, 216, 217], "helper": [0, 1, 2, 3, 4, 5, 6, 7, 8, 103, 115, 208], "function": [0, 1, 2, 3, 4, 5, 6, 7, 8, 21, 22, 24, 25, 26, 27, 36, 38, 39, 40, 41, 42, 44, 45, 46, 47, 50, 52, 55, 56, 82, 99, 103, 115, 120, 129, 130, 161, 164, 165, 172, 180, 184, 189, 208, 209, 211, 212, 213, 214, 215, 218, 219, 220], "input": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 22, 24, 25, 26, 27, 36, 42, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 73, 74, 75, 76, 78, 82, 87, 89, 90, 92, 96, 97, 101, 102, 103, 104, 106, 108, 109, 110, 111, 112, 113, 114, 116, 118, 119, 120, 121, 123, 124, 125, 127, 128, 129, 130, 132, 134, 135, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 176, 178, 180, 184, 185, 186, 187, 188, 189, 191, 195, 198, 199, 208, 212, 214, 216, 218, 219, 220], "paramet": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 73, 74, 75, 76, 78, 79, 82, 85, 86, 87, 89, 90, 91, 92, 96, 97, 98, 99, 101, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 113, 114, 116, 118, 119, 120, 121, 123, 124, 125, 127, 128, 129, 130, 132, 134, 135, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 175, 176, 178, 180, 184, 185, 186, 187, 188, 189, 191, 194, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 208, 212, 213, 214, 215, 220], "type": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 27, 29, 30, 31, 32, 33, 34, 36, 39, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 59, 75, 76, 79, 80, 82, 85, 86, 87, 89, 90, 91, 92, 96, 97, 98, 101, 102, 103, 129, 130, 134, 140, 142, 143, 150, 156, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 175, 176, 178, 180, 184, 185, 186, 187, 188, 189, 191, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 210, 215, 218, 219, 220], "return": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 12, 14, 15, 16, 17, 18, 19, 20, 29, 30, 54, 59, 75, 76, 78, 82, 85, 86, 87, 89, 90, 91, 92, 96, 98, 102, 103, 114, 116, 119, 129, 130, 132, 142, 143, 150, 156, 160, 161, 162, 163, 164, 165, 175, 176, 178, 180, 194, 201, 202, 203, 204, 205, 208, 211, 214, 216, 220], "output": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 22, 24, 25, 26, 27, 29, 30, 36, 42, 44, 45, 46, 47, 48, 49, 50, 52, 55, 56, 59, 75, 76, 101, 102, 103, 129, 130, 134, 140, 142, 143, 160, 162, 163, 164, 165, 168, 169, 170, 172, 174, 180, 184, 185, 186, 187, 188, 189, 191, 195, 196, 198, 199, 200, 214, 216, 218, 220], "float": [1, 10, 15, 18, 22, 24, 30, 52, 55, 56, 161, 167, 180, 194, 201, 202, 203, 204, 205, 207, 208, 209, 214, 216, 220], "int16_t": [2, 209], "int32_t": [3, 24, 55, 82, 96, 169, 170, 176, 178, 188, 209, 212, 214], "int8_t": [4, 5, 209], "t2": [4, 5, 11, 12, 32, 34, 54, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 74, 79, 80, 83, 87, 91, 93, 94, 97, 98, 104, 105, 106, 108, 109, 111, 112, 115, 127, 128, 142, 150, 156, 160, 180, 196, 200, 207, 209, 214, 220], "run": [4, 5, 10, 11, 12, 14, 15, 16, 17, 18, 19, 24, 25, 26, 27, 30, 32, 34, 48, 49, 52, 54, 55, 56, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 73, 74, 78, 79, 80, 83, 86, 87, 93, 94, 97, 98, 99, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 113, 114, 115, 116, 118, 119, 120, 121, 123, 124, 125, 127, 128, 132, 135, 136, 137, 139, 144, 145, 146, 147, 148, 149, 151, 152, 154, 155, 157, 158, 160, 174, 175, 176, 178, 201, 202, 203, 204, 205, 207, 208, 209, 213, 215, 216, 217, 220], "arbitrari": [5, 52, 207, 214, 220], "newtyp": 5, "differ": [5, 21, 36, 52, 55, 56, 78, 80, 83, 101, 131, 164, 165, 189, 191, 208, 214, 215, 216, 218, 219, 220], "uint16_t": [6, 209], "uint32_t": [7, 82, 209, 214], "uint8_t": [8, 209], "as_doubl": [9, 36], "as_float": [9, 36], "as_int16": [9, 36], "as_int32": [9, 36], "as_int8": [9, 36], "exampl": [9, 13, 23, 28, 35, 36, 182, 207, 208, 209, 210, 211, 214, 216, 218, 219, 220], "as_typ": [9, 36, 111, 160], "as_uint16": [9, 36], "as_uint32": [9, 36], "as_uint8": [9, 36], "gener": [10, 12, 13, 17, 18, 19, 30, 36, 55, 101, 175, 179, 180, 191, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 208, 211, 214, 216, 218], "sequenc": [10, 15, 18, 22, 175, 216, 220], "1": [10, 12, 14, 15, 16, 17, 18, 19, 22, 24, 25, 26, 27, 30, 49, 52, 54, 55, 56, 75, 76, 82, 83, 86, 87, 99, 102, 106, 121, 129, 130, 134, 140, 160, 161, 162, 163, 169, 175, 176, 178, 180, 185, 187, 188, 195, 199, 211, 212, 213, 214, 215, 216, 220], "inlin": [10, 11, 12, 14, 15, 17, 18, 19, 30, 161, 169, 170, 174, 175, 180, 194, 201, 202, 203, 204, 205, 214], "const": [10, 11, 12, 14, 15, 17, 18, 19, 21, 22, 24, 25, 26, 27, 38, 39, 40, 41, 42, 44, 45, 46, 47, 50, 52, 55, 56, 59, 75, 76, 78, 82, 83, 85, 87, 89, 90, 91, 96, 99, 101, 129, 130, 134, 140, 142, 143, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 176, 178, 184, 185, 186, 187, 188, 189, 191, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 208, 212, 214], "index_t": [10, 11, 12, 14, 15, 17, 18, 19, 21, 24, 26, 29, 30, 49, 55, 83, 85, 87, 91, 161, 162, 163, 174, 175, 176, 178, 201, 202, 203, 204, 205, 208, 214, 216], "len": 10, "creat": [10, 11, 12, 14, 15, 16, 18, 21, 24, 25, 26, 27, 36, 55, 56, 78, 115, 161, 175, 189, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 210, 214, 215, 216, 218], "data": [10, 11, 12, 17, 19, 21, 22, 27, 39, 41, 42, 45, 46, 47, 50, 55, 56, 59, 75, 76, 78, 82, 91, 101, 129, 130, 134, 140, 142, 143, 162, 163, 164, 165, 167, 168, 175, 184, 185, 186, 187, 189, 191, 198, 200, 201, 202, 203, 204, 205, 208, 210, 213, 214, 216, 218, 219, 220], "length": [10, 18, 24, 26, 30, 33, 34, 87, 167, 175, 178, 208, 214, 216, 220], "td": [10, 11], "make_tensor": [10, 11, 12, 14, 16, 17, 19, 21, 22, 24, 48, 49, 52, 54, 55, 59, 83, 85, 86, 87, 96, 102, 106, 129, 130, 160, 162, 163, 175, 176, 178, 184, 207, 208, 209, 213, 220], "typeparam": [10, 11, 12, 14, 15, 17, 18, 19, 24, 52, 55, 175, 213], "10": [10, 11, 12, 52, 57, 83, 86, 87, 91, 124, 129, 130, 140, 161, 162, 163, 207, 208, 213, 216, 220], "contain": [10, 21, 52, 75, 76, 101, 129, 130, 134, 162, 163, 168, 186, 187, 191, 194, 208, 214, 215, 216, 220], "come": [11, 220], "two": [11, 16, 24, 25, 26, 27, 52, 54, 55, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 74, 75, 76, 79, 80, 83, 89, 90, 99, 101, 104, 105, 106, 108, 109, 111, 112, 127, 128, 129, 130, 162, 163, 185, 188, 199, 208, 211, 212, 213, 214, 216, 220], "form": [11, 54, 161, 207, 208, 214], "The": [11, 14, 15, 18, 22, 24, 26, 42, 44, 45, 46, 48, 49, 50, 52, 54, 75, 76, 82, 86, 87, 89, 90, 96, 98, 101, 102, 103, 134, 160, 164, 165, 170, 172, 175, 180, 185, 186, 188, 191, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 207, 208, 209, 211, 212, 213, 214, 215, 216, 218, 219, 220], "version": [11, 22, 33, 34, 48, 49, 52, 98, 160, 208, 209, 215, 219, 220], "i": [11, 12, 14, 15, 17, 18, 19, 21, 24, 25, 26, 27, 29, 31, 32, 33, 34, 38, 40, 42, 44, 45, 46, 48, 49, 50, 52, 54, 55, 56, 75, 76, 78, 79, 80, 82, 85, 87, 91, 96, 98, 99, 101, 102, 103, 114, 121, 129, 130, 134, 161, 164, 165, 167, 168, 169, 170, 172, 175, 180, 184, 185, 186, 189, 191, 194, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220], "us": [11, 14, 15, 17, 18, 19, 21, 22, 24, 25, 26, 27, 30, 38, 39, 40, 42, 44, 46, 47, 48, 49, 50, 52, 55, 56, 75, 76, 82, 83, 99, 101, 103, 129, 130, 161, 162, 163, 167, 172, 174, 175, 185, 186, 187, 189, 194, 195, 198, 200, 208, 209, 210, 211, 213, 214, 215, 216, 218, 219, 220], "diagon": [11, 12, 59, 220], "tensor": [11, 12, 15, 17, 18, 19, 22, 24, 25, 26, 27, 30, 31, 32, 33, 34, 36, 38, 39, 40, 41, 42, 44, 45, 46, 48, 49, 50, 54, 55, 56, 57, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 73, 74, 75, 76, 78, 82, 83, 85, 86, 87, 89, 90, 93, 94, 96, 97, 99, 101, 102, 103, 104, 105, 106, 108, 109, 110, 111, 112, 113, 114, 118, 120, 121, 123, 124, 125, 127, 128, 129, 130, 132, 134, 135, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 154, 155, 157, 158, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 175, 176, 178, 180, 184, 185, 186, 187, 188, 191, 194, 195, 196, 198, 199, 200, 201, 202, 203, 204, 205, 207, 209, 210, 211, 213, 216, 218, 219], "given": [11, 52, 98, 161, 191, 208, 216], "valu": [11, 12, 14, 15, 16, 17, 18, 20, 36, 41, 46, 47, 48, 49, 55, 75, 76, 79, 80, 85, 97, 101, 102, 103, 114, 120, 121, 129, 130, 132, 134, 135, 139, 143, 161, 162, 163, 164, 165, 168, 175, 178, 180, 184, 185, 194, 195, 196, 199, 200, 201, 202, 203, 204, 205, 207, 208, 211, 212, 213, 214, 216, 220], "while": [11, 52, 101, 164, 165, 172, 208, 209, 211, 212, 214, 215, 216, 218, 220], "pull": 11, "element": [11, 12, 17, 19, 30, 54, 59, 83, 85, 97, 98, 101, 102, 105, 109, 114, 118, 121, 123, 124, 125, 127, 128, 129, 130, 132, 136, 137, 139, 142, 143, 144, 145, 146, 147, 148, 149, 151, 152, 154, 155, 157, 158, 164, 165, 167, 168, 175, 184, 185, 191, 211, 213, 214, 216, 220], "from": [11, 16, 21, 22, 24, 25, 27, 29, 39, 41, 42, 45, 46, 47, 50, 52, 55, 56, 78, 79, 80, 82, 83, 85, 99, 101, 102, 103, 115, 156, 161, 164, 165, 172, 175, 180, 184, 195, 196, 198, 199, 200, 204, 207, 211, 212, 213, 214, 215, 218], "t1": [11, 14, 15, 17, 18, 19, 29, 30, 31, 32, 33, 34, 42, 45, 46, 47, 50, 54, 79, 80, 83, 87, 89, 90, 91, 93, 94, 103, 115, 134, 140, 150, 156, 160, 164, 165, 167, 168, 175, 176, 178, 180, 186, 187, 189, 191, 196, 200, 207, 209, 220], "get": [11, 161, 208, 211, 214, 218], "take": [11, 52, 87, 89, 90, 143, 208, 211, 213, 214, 218, 220], "onli": [11, 21, 29, 38, 40, 42, 45, 46, 47, 50, 52, 55, 56, 79, 80, 82, 164, 165, 168, 172, 185, 189, 200, 208, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220], "tc": 11, "initi": [11, 48, 49, 101, 161, 208, 214, 216], "int": [11, 12, 14, 15, 17, 18, 19, 21, 24, 25, 26, 27, 48, 49, 52, 55, 57, 59, 75, 76, 82, 83, 85, 86, 89, 90, 92, 96, 97, 98, 102, 129, 130, 134, 142, 143, 160, 161, 162, 163, 167, 176, 178, 184, 185, 186, 187, 201, 202, 203, 204, 205, 208, 212, 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29, 31, 32, 33, 34, 39, 47, 48, 49, 50, 52, 78, 82, 86, 96, 98, 99, 164, 165, 172, 174, 201, 202, 203, 204, 205, 207, 208, 212, 214, 215, 216], "all": [11, 12, 17, 19, 24, 25, 26, 27, 36, 42, 45, 46, 47, 49, 50, 52, 77, 87, 129, 130, 134, 142, 143, 160, 161, 164, 165, 168, 184, 185, 207, 208, 209, 211, 212, 213, 214, 215, 216, 218, 219, 220], "otherwis": [11, 12, 75, 80, 101, 220], "In": [11, 12, 42, 45, 46, 50, 52, 101, 102, 191, 207, 208, 210, 211, 213, 214, 216, 219, 220], "other": [11, 12, 29, 36, 50, 52, 78, 83, 129, 130, 191, 207, 208, 209, 214, 215, 219, 220], "word": [11, 12, 191], "index": [11, 12, 16, 18, 31, 32, 33, 34, 86, 101, 102, 103, 161, 162, 163, 194, 211, 214, 215, 219], "everi": [11, 12, 78, 83, 87, 114, 118, 123, 124, 125, 132, 136, 137, 139, 144, 145, 146, 147, 148, 149, 151, 152, 154, 155, 157, 158, 169, 207, 211, 212, 213, 218, 220], "dimens": [11, 12, 14, 15, 18, 24, 25, 26, 27, 31, 32, 33, 34, 52, 55, 56, 75, 76, 78, 82, 83, 85, 86, 87, 89, 90, 91, 92, 96, 97, 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96, 101, 161, 194, 201, 202, 203, 204, 205, 214], "pattern": [12, 220], "eye2": 12, "eye3": 12, "eye4": 12, "For": [12, 52, 79, 80, 99, 101, 132, 140, 167, 185, 207, 208, 209, 210, 213, 214, 215, 216, 218, 219, 220], "each": [12, 48, 49, 52, 82, 83, 85, 86, 91, 92, 96, 102, 103, 120, 121, 134, 135, 161, 167, 175, 184, 185, 191, 196, 198, 200, 208, 209, 213, 214, 215, 216, 218, 220], "where": [12, 21, 24, 26, 31, 32, 33, 34, 48, 49, 50, 55, 56, 75, 86, 87, 92, 101, 121, 161, 165, 167, 169, 180, 208, 211, 214, 219, 220], "everywher": 12, "els": [12, 80], "altern": [13, 36, 214, 215], "diag": [13, 36], "ey": [13, 36, 54, 220], "linspac": [13, 16, 36, 52, 83, 160], "logspac": [13, 36], "meshgrid": [13, 36], "ones": [13, 36, 52, 59, 184, 213, 220], "rang": [13, 14, 15, 36, 160, 210, 211, 220], "linearli": [14, 175, 220], "space": [14, 15, 18, 21, 30, 175, 215, 220], "number": [14, 15, 18, 30, 36, 48, 49, 52, 54, 79, 80, 89, 90, 91, 101, 102, 113, 116, 118, 119, 129, 130, 131, 132, 142, 143, 164, 165, 168, 172, 175, 184, 185, 191, 213, 214, 216, 218], "first": [14, 15, 18, 29, 32, 34, 52, 54, 79, 80, 92, 98, 103, 169, 170, 180, 188, 207, 208, 211, 213, 214, 215, 216, 218, 220], "last": [14, 15, 24, 25, 26, 27, 31, 32, 33, 34, 55, 99, 143, 160, 175, 191, 208, 213, 214, 216, 220], "step": [14, 15, 18, 52, 175, 215, 216, 220], "size": [14, 15, 18, 22, 24, 26, 29, 30, 31, 32, 33, 34, 48, 49, 52, 75, 76, 78, 82, 85, 87, 96, 99, 102, 134, 160, 161, 164, 165, 168, 169, 175, 186, 187, 191, 199, 200, 201, 202, 203, 204, 205, 207, 208, 213, 214, 216, 218], "determin": [14, 15, 18, 134, 191, 194, 213, 215, 216, 220], "shape": [14, 15, 17, 18, 19, 21, 52, 59, 83, 85, 161, 194, 201, 202, 203, 204, 205, 213, 214, 218], "dim": [14, 15, 18, 75, 76, 82, 86, 89, 90, 97, 98, 99, 102, 129, 130, 134, 142, 143, 162, 163, 176, 178, 184, 185, 186, 187, 201, 202, 203, 204, 205, 214], "start": [14, 15, 18, 31, 32, 33, 34, 83, 210, 211, 214, 218], "end": [14, 15, 52, 83, 175, 211, 212, 214, 220], 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32, 33, 34, 46, 52, 54, 55, 75, 76, 82, 83, 86, 87, 89, 90, 91, 96, 125, 129, 130, 132, 134, 140, 143, 160, 162, 163, 170, 185, 208, 211, 213, 214, 215, 216, 219, 220], "matrix": [16, 36, 42, 45, 46, 47, 50, 54, 56, 57, 59, 91, 180, 189, 211, 214, 220], "vector": [16, 21, 36, 48, 49, 50, 56, 134, 172, 175, 180, 208, 220], "mesh": 16, "grid": 16, "list": [16, 52, 97, 98, 102, 161, 214, 215, 218, 219, 220], "n": [16, 30, 47, 48, 49, 55, 83, 85, 102, 160, 167, 176, 178, 187, 211, 214, 216, 219], "rank1": 16, "defin": [16, 21, 79, 80, 129, 130, 134, 150, 156, 164, 165, 208, 210, 212, 215], "rankn": 16, "cartisian": [16, 150], "transpos": [16, 36, 46, 47, 52, 82, 84, 95, 115, 211, 219, 220], "xv": [16, 22, 180], "dtype": [16, 54], "yd": 16, "xd": 16, "yv": 16, "x": [16, 18, 49, 52, 57, 120, 121, 132, 134, 150, 156, 160, 180, 195, 196, 198, 199, 200, 201, 202, 203, 205, 216], "y": [16, 132, 150, 156, 180, 195, 196, 198, 199, 200, 201, 202, 203, 205], "extent": 16, "xx": 16, "yy": 16, "one": [17, 48, 49, 52, 85, 92, 98, 191, 196, 200, 208, 214, 218, 220], "Ones": 17, "alwai": [17, 19, 102, 208, 218, 220], "It": [17, 19, 161, 164, 165, 172, 214, 215, 220], "can": [17, 19, 52, 82, 83, 96, 97, 99, 102, 161, 164, 165, 168, 172, 182, 187, 204, 207, 208, 211, 212, 213, 214, 215, 216, 217, 220], "place": [17, 19, 42, 45, 46, 50, 82, 99, 161, 208, 210, 216, 220], "memset": [17, 19], "total": [18, 87, 96, 208], "base": [18, 22, 24, 25, 26, 27, 44, 52, 55, 97, 102, 103, 123, 124, 125, 150, 161, 164, 165, 172, 208, 211, 212, 213, 214], "along": [18, 24, 26, 52, 55, 86, 92, 97, 98, 102, 201, 202, 203, 204, 205], "block": [19, 24, 26, 48, 220], "memori": [19, 21, 24, 26, 82, 161, 167, 207, 208, 211, 213, 214, 220], "pointer": [20, 208, 214, 218], "util": [21, 36, 208, 212, 214, 215], "possibl": [21, 52, 161, 208, 209, 212, 219], "prefer": [21, 52, 55, 56, 189, 208, 216, 218], "directli": [21, 55, 56, 172, 189, 208, 211, 214, 215, 216, 218, 220], "declar": [21, 208, 212, 215], "sinc": [21, 24, 26, 29, 52, 55, 56, 78, 99, 103, 161, 172, 185, 189, 208, 209, 214, 216, 219, 220], "allow": [21, 39, 52, 98, 99, 207, 208, 212, 213, 214, 216, 219, 220], "chang": [21, 24, 26, 82, 99, 207, 211, 212, 214, 215, 216, 220], "futur": [21, 24, 26, 52, 167, 214, 219], "without": [21, 52, 55, 56, 82, 172, 189, 208, 213, 214, 215, 216, 218, 220], "break": 21, "see": [21, 42, 45, 46, 47, 50, 208, 214, 215, 218, 220], "walkthrough": 21, "provid": [21, 42, 45, 46, 47, 50, 52, 55, 56, 102, 103, 161, 172, 175, 208, 209, 212, 214, 215, 217, 219, 220], "numer": [21, 105, 214, 218], "overload": [21, 24, 26, 209, 212, 220], "argument": [21, 52, 208, 214, 215, 220], "case": [21, 42, 45, 46, 50, 52, 97, 102, 208, 213, 216, 220], "matxmemoryspace_t": 21, "matx_managed_memori": 21, "cudastream_t": [21, 22, 24, 25, 26, 27, 42, 44, 45, 46, 47, 48, 49, 50, 52, 55, 56, 57, 78, 82, 101, 134, 169, 170, 172, 174, 180, 188, 189, 191, 214], "stream": [21, 22, 24, 25, 26, 27, 42, 44, 45, 46, 47, 48, 49, 50, 52, 55, 56, 57, 59, 75, 76, 78, 82, 99, 101, 129, 130, 134, 162, 163, 164, 165, 169, 170, 172, 174, 180, 186, 187, 188, 189, 191, 208, 214, 216, 220], "implicitli": [21, 208, 220], "alloc": [21, 161, 167, 214, 216, 220], "default": [21, 30, 49, 134, 187, 208, 209, 212, 215], "mang": 21, "cuda": [21, 22, 24, 25, 26, 27, 42, 44, 45, 46, 47, 48, 49, 50, 52, 55, 56, 57, 59, 75, 76, 82, 99, 101, 129, 130, 134, 142, 143, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 175, 180, 184, 185, 186, 187, 188, 189, 191, 194, 208, 209, 214, 215, 218, 219, 220], "applic": [21, 194, 208, 215, 218], "async": 21, "new": [21, 24, 25, 26, 27, 31, 32, 33, 34, 52, 54, 55, 56, 78, 82, 83, 86, 91, 92, 96, 98, 160, 161, 189, 195, 196, 198, 199, 200, 208, 214, 218, 220], "tensortyp": [21, 38, 39, 40, 41, 195, 198, 199], "is_tensor_view_v": [21, 194], "void": [21, 22, 24, 25, 26, 27, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 55, 56, 57, 59, 75, 76, 78, 82, 99, 101, 129, 130, 134, 140, 142, 143, 162, 163, 164, 165, 167, 168, 169, 170, 172, 174, 180, 184, 185, 186, 187, 188, 189, 191, 195, 196, 198, 199, 200, 212, 214], "store": [21, 42, 44, 45, 46, 50, 52, 101, 102, 103, 142, 161, 164, 165, 169, 184, 185, 207, 208, 213, 216, 220], "newli": 21, "is_matx_shape_v": [21, 194], "is_matx_descriptor_v": [21, 194, 214], "conform": 21, "have": [21, 39, 48, 49, 52, 55, 167, 207, 208, 209, 215, 216, 218, 220], "sequenti": 21, "iter": [21, 47, 48, 49, 57, 208], "both": [21, 24, 26, 52, 55, 56, 75, 76, 78, 82, 99, 101, 129, 130, 162, 163, 167, 180, 189, 195, 207, 208, 209, 211, 212, 214, 215, 216, 220], "non": [21, 52, 70, 75, 76, 172, 208, 214], "meet": [21, 103, 164, 165, 168, 208], "thi": [21, 22, 24, 25, 26, 27, 29, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 52, 55, 56, 78, 82, 96, 97, 98, 99, 102, 103, 129, 130, 132, 134, 140, 160, 161, 164, 165, 167, 168, 169, 170, 172, 188, 189, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220], "criteria": [21, 103, 164, 165, 168], "manag": [21, 208, 212, 214, 215, 220], "shape_contain": 21, "0d": [21, 75, 76, 101, 143, 207], "own": [21, 164, 165, 208, 212, 215, 220], "fals": [21, 75], "user": [21, 30, 52, 164, 165, 194, 208, 210, 212, 214, 215, 218, 220], "devic": [21, 161, 208, 209, 213, 214, 216, 220], "If": [21, 24, 26, 46, 52, 78, 101, 114, 161, 172, 195, 196, 198, 199, 200, 208, 212, 213, 214, 215, 218, 220], "class": [21, 80, 82, 161, 194, 214, 215, 220], "scalar_typ": [21, 101, 161, 175, 191, 214], "ptr": [21, 208], "storag": [21, 194, 210, 214, 220], "is_matx_storage_v": [21, 194, 214], "custom": [21, 164, 165, 175, 194, 212, 214], "storage_typ": [21, 214], "d": [21, 30, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 74, 75, 76, 80, 127, 128, 129, 130, 134, 142, 143, 162, 163, 184, 185, 186, 187, 214], "desc": [21, 208, 214], "exist": [21, 24, 25, 26, 27, 55, 56, 189, 208, 214, 215, 218, 219], "descriptor": [21, 194, 210, 214], "tensor_desc_t": 21, "desc_typ": [21, 214], "stride": [21, 55, 82, 83, 208, 211, 214, 219, 220], "make_tensor_p": 21, "caller": [21, 208, 214, 220], "respons": [21, 214], "delet": [21, 208, 212, 214, 219], "perform": [22, 24, 25, 26, 27, 31, 32, 33, 34, 38, 40, 42, 44, 45, 46, 47, 48, 49, 50, 52, 54, 55, 56, 57, 82, 99, 101, 134, 164, 165, 167, 169, 170, 172, 180, 184, 188, 208, 211, 212, 214, 216, 218, 219, 220], "direct": [22, 52, 91, 167, 188, 216, 219], "cosin": [22, 144, 145, 151, 152, 175], "transform": [22, 29, 36, 55, 218, 220], "These": [22, 24, 25, 26, 27, 208, 220], "current": [22, 24, 25, 26, 27, 38, 40, 44, 52, 55, 167, 172, 180, 185, 195, 208, 214, 215, 219, 220], "support": [22, 24, 25, 26, 27, 38, 40, 44, 46, 47, 52, 55, 167, 172, 194, 207, 208, 209, 214, 215, 218, 219, 220], "host": [22, 24, 25, 26, 27, 44, 52, 55, 75, 76, 103, 129, 130, 142, 143, 162, 163, 164, 165, 172, 184, 185, 208, 209, 213, 214, 215, 216, 219, 220], "executor": [22, 24, 25, 26, 27, 44, 52, 55, 59, 75, 76, 78, 99, 103, 129, 130, 140, 142, 143, 162, 163, 164, 165, 167, 168, 172, 184, 185, 186, 187, 194, 218, 219], "cpu": [22, 24, 25, 26, 27, 44, 52, 55, 172, 218, 219, 220], "outputtensor": [22, 24, 25, 26, 27, 42, 45, 50, 78, 99, 140, 164, 165, 167, 168, 188, 191], "inputtensor": [22, 24, 25, 26, 27, 78, 99], "out": [22, 24, 25, 26, 27, 42, 45, 46, 50, 52, 57, 78, 82, 99, 160, 164, 165, 169, 174, 191, 208, 212, 216, 220], "discret": [22, 36, 218], "comput": [22, 47, 50, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 73, 74, 85, 111, 113, 114, 118, 120, 121, 123, 124, 125, 127, 128, 129, 130, 132, 134, 135, 136, 137, 139, 140, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 154, 155, 156, 157, 158, 160, 162, 163, 184, 185, 186, 187, 189, 191, 208, 211, 215, 218, 220], "must": [22, 24, 26, 42, 48, 49, 52, 78, 79, 80, 82, 92, 96, 99, 102, 164, 165, 167, 168, 180, 185, 195, 196, 199, 200, 208, 209, 212, 214, 215, 220], "match": [22, 24, 25, 26, 27, 52, 82, 96, 99, 134, 169, 180, 196, 199, 200, 207, 208, 212, 214, 216, 220], "implement": [22, 99, 134, 172, 208, 212], "2n": [22, 167], "pad": [22, 24, 26, 216], "makhoul": 22, "method": [22, 47, 48, 49, 52, 175, 188, 208, 214, 215, 220], "which": [22, 45, 52, 78, 98, 101, 103, 134, 160, 174, 207, 208, 212, 215, 220], "offload": 22, "complex": [22, 29, 36, 55, 57, 79, 80, 113, 114, 115, 116, 118, 119, 131, 132, 175, 194, 208, 209, 211, 214, 215, 216, 220], "process": [22, 36, 167, 215, 218, 219], "cufft": [22, 29, 215], "sig_siz": 22, "1d": [24, 26, 31, 33, 38, 40, 83, 85, 86, 87, 92, 96, 101, 103, 167, 169, 174, 184, 211, 214, 220], "o": [24, 25, 26, 27, 169, 170, 172, 188], "uint64_t": [24, 26, 161, 209], "fft_size": [24, 26], "cach": [24, 25, 26, 27, 42, 46, 47, 50, 55, 56, 189, 207, 214, 215, 219], "plan": [24, 25, 26, 27, 42, 46, 47, 50, 52, 55, 56, 172, 189], "none": [24, 25, 26, 27, 55, 56, 189, 220], "execut": [24, 25, 26, 27, 55, 56, 57, 79, 80, 172, 189, 214, 215, 217, 219, 220], "note": [24, 25, 26, 27, 33, 34, 50, 129, 130, 134, 180, 211, 214, 215, 216, 218, 219], "ifft": 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\ No newline at end of file
diff --git a/docs_input/api/signalimage/general/chirp.rst b/docs_input/api/signalimage/general/chirp.rst
index 9504d48c0..0b79d675a 100644
--- a/docs_input/api/signalimage/general/chirp.rst
+++ b/docs_input/api/signalimage/general/chirp.rst
@@ -1,7 +1,7 @@
 .. _chirp_func:
 
 chirp
-=========
+=====
 
 Creates a real chirp signal (swept-frequency cosine)
 
@@ -19,7 +19,7 @@ Examples
 
 
 cchirp
-=========
+======
 
 Creates a complex chirp signal (swept-frequency cosine)
 
diff --git a/docs_input/api/signalimage/general/downsample.rst b/docs_input/api/signalimage/general/downsample.rst
new file mode 100644
index 000000000..7304bdfdf
--- /dev/null
+++ b/docs_input/api/signalimage/general/downsample.rst
@@ -0,0 +1,17 @@
+.. _downsample_func:
+
+downsample
+==========
+
+downsample a signal by dropping samples
+
+.. doxygenfunction:: downsample
+
+Examples
+~~~~~~~~
+
+.. literalinclude:: ../../../../test/00_operators/OperatorTests.cu
+   :language: cpp
+   :start-after: example-begin downsample-test-1
+   :end-before: example-end downsample-test-1
+   :dedent:
diff --git a/docs_input/api/signalimage/general/upsample.rst b/docs_input/api/signalimage/general/upsample.rst
new file mode 100644
index 000000000..ab9c70925
--- /dev/null
+++ b/docs_input/api/signalimage/general/upsample.rst
@@ -0,0 +1,17 @@
+.. _upsample_func:
+
+upsample
+========
+
+Upsample a signal by stuffing zeros
+
+.. doxygenfunction:: upsample
+
+Examples
+~~~~~~~~
+
+.. literalinclude:: ../../../../test/00_operators/OperatorTests.cu
+   :language: cpp
+   :start-after: example-begin upsample-test-1
+   :end-before: example-end upsample-test-1
+   :dedent:
diff --git a/include/matx/operators/operators.h b/include/matx/operators/operators.h
index f0e18cc78..c3121bc5c 100644
--- a/include/matx/operators/operators.h
+++ b/include/matx/operators/operators.h
@@ -58,6 +58,7 @@
 #include "matx/operators/r2c.h"
 #include "matx/operators/remap.h"
 #include "matx/operators/repmat.h"
+#include "matx/operators/resample.h"
 #include "matx/operators/reshape.h"
 #include "matx/operators/reverse.h"
 #include "matx/operators/select.h"
diff --git a/include/matx/operators/updownsample.h b/include/matx/operators/updownsample.h
new file mode 100644
index 000000000..e6ff463f8
--- /dev/null
+++ b/include/matx/operators/updownsample.h
@@ -0,0 +1,137 @@
+////////////////////////////////////////////////////////////////////////////////
+// BSD 3-Clause License
+//
+// Copyright (c) 2021, NVIDIA Corporation
+// All rights reserved.
+//
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted provided that the following conditions are met:
+//
+// 1. Redistributions of source code must retain the above copyright notice, this
+//    list of conditions and the following disclaimer.
+//
+// 2. Redistributions in binary form must reproduce the above copyright notice,
+//    this list of conditions and the following disclaimer in the documentation
+//    and/or other materials provided with the distribution.
+//
+// 3. Neither the name of the copyright holder nor the names of its
+//    contributors may be used to endorse or promote products derived from
+//    this software without specific prior written permission.
+//
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+// FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+// SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+// CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+/////////////////////////////////////////////////////////////////////////////////
+
+#pragma once
+
+
+#include "matx/core/type_utils.h"
+#include "matx/operators/base_operator.h"
+
+namespace matx
+{
+/**
+   * Upsamples a signal by stuffing zeros
+   */
+  namespace detail {
+    template <typename T>
+      class UpsampleOp : public BaseOp<UpsampleOp<T>>
+    {
+      private:
+        T op_;
+        int32_t dim_;
+        index_t n_;
+
+      public:
+        using matxop = bool;
+        using matxoplvalue = bool;
+        using scalar_type = typename T::scalar_type;
+
+        static __MATX_INLINE__ constexpr __MATX_HOST__ __MATX_DEVICE__ int32_t Rank()
+        {
+          return T::Rank();
+        }        
+
+        static_assert(Rank() > 0, "UpsampleOp: Rank of operator must be greater than 0."); 
+
+        __MATX_INLINE__ std::string str() const { return "upsample(" + op_.str() + ")"; }
+
+        __MATX_INLINE__ UpsampleOp(const T &op, int32_t dim, index_t n) : op_(op), dim_(dim), n_(n) {
+        };
+
+        template <typename... Is>
+        __MATX_INLINE__ __MATX_DEVICE__ __MATX_HOST__ auto operator()(Is... indices) const 
+        {
+          static_assert(sizeof...(Is)==Rank());
+          static_assert((std::is_convertible_v<Is, index_t> && ... ));
+
+          // convert variadic type to tuple so we can read/update
+          std::array<index_t, Rank()> ind{indices...};
+          if ((ind[dim_] % n_) == 0) {
+            ind[dim_] /= n_;
+            return mapply(op_, ind);
+          }
+
+          return static_cast<scalar_type>(0);
+        }
+
+        constexpr __MATX_INLINE__ __MATX_HOST__ __MATX_DEVICE__ index_t Size(int32_t dim) const
+        {
+          if (dim == dim_) {
+            return (op_.Size(dim) - 1) * n_ + 1;
+          }
+          else {
+            return op_.Size(dim);
+          }
+        }
+
+        template<typename R> __MATX_INLINE__ auto operator=(const R &rhs) { return set(*this, rhs); }
+    };
+  }
+
+  /**
+   * @brief Operator to upsample an operator by inserting zeros between values
+   *
+   * @tparam T Input operator/tensor type
+   * @param op Input operator
+   * @param dim the factor to upsample
+   * @param n Upsample rate
+   * @return Upsampled operator
+   */
+  template <typename T>
+  __MATX_INLINE__ auto upsample( const T &op, int32_t dim, index_t n) {
+    return detail::UpsampleOp<T>(op, dim, n);
+  }
+
+  /**
+   * @brief Operator to downsample an operator by dropping samples
+   *
+   * @tparam T Input operator/tensor type
+   * @param op Input operator
+   * @param dim the factor to downsample
+   * @param n Downsample rate
+   * @return Downsample operator
+   */
+  template <typename T>
+  __MATX_INLINE__ auto downsample( const T &op, int32_t dim, index_t n) {
+    index_t starts[T::Rank()];
+    index_t ends[T::Rank()];
+    index_t strides[T::Rank()];
+
+    for (int32_t r = 0; r < T::Rank(); r++) {
+      starts[r]  = 0;
+      ends[r]    = matxEnd;
+      strides[r] = (r == dim) ? n : 1;
+    }
+
+    return slice(op, starts, ends, strides);
+  }
+} // end namespace matx
diff --git a/test/00_operators/OperatorTests.cu b/test/00_operators/OperatorTests.cu
index f4a70c774..a114dfed4 100644
--- a/test/00_operators/OperatorTests.cu
+++ b/test/00_operators/OperatorTests.cu
@@ -2984,6 +2984,77 @@ TYPED_TEST(OperatorTestsFloatNonComplexAllExecs, Sphere2Cart)
   MATX_EXIT_HANDLER();
 }
 
+TYPED_TEST(OperatorTestsNumericAllExecs, Upsample)
+{
+  MATX_ENTER_HANDLER();
+  using TestType = std::tuple_element_t<0, TypeParam>;
+  using ExecType = std::tuple_element_t<1, TypeParam>;  
+
+  ExecType exec{}; 
+
+  {
+    // example-begin upsample-test-1
+    // Upsample a signal of length 100 by 5
+    int n = 5;
+
+    auto t1 = make_tensor<TestType>({100});
+    (t1 = static_cast<TestType>(1)).run(exec);
+    auto us_op = upsample(t1, 0, n);
+    // example-end upsample-test-1
+
+    ASSERT_TRUE(us_op.Size(0) == (t1.Size(0) - 1) * n + 1);
+    for (index_t i = 0; i < us_op.Size(0); i++) {
+      if ((i % n) == 0) {
+        MatXUtils::MatXTypeCompare(us_op(i), t1(i / n));
+      }
+      else {
+        MatXUtils::MatXTypeCompare(us_op(i), static_cast<TestType>(0));
+      }
+    }
+  }
+
+  MATX_EXIT_HANDLER();
+}
+
+TYPED_TEST(OperatorTestsNumericAllExecs, Downsample)
+{
+  MATX_ENTER_HANDLER();
+  using TestType = std::tuple_element_t<0, TypeParam>;
+  using ExecType = std::tuple_element_t<1, TypeParam>;  
+
+  ExecType exec{}; 
+
+  {
+    // example-begin downsample-test-1
+    int n = 5;
+
+    auto t1 = make_tensor<TestType>({100});
+    (t1 = static_cast<TestType>(1)).run(exec);
+    auto ds_op = downsample(t1, 0, n);
+    // example-end downsample-test-1
+
+    ASSERT_TRUE(ds_op.Size(0) == t1.Size(0) / n);
+    for (index_t i = 0; i < ds_op.Size(0); i++) {
+      MatXUtils::MatXTypeCompare(ds_op(i), t1(i * n));
+    }
+  }
+
+  {
+    int n = 3;
+
+    auto t1 = make_tensor<TestType>({100});
+    (t1 = static_cast<TestType>(1)).run(exec);
+    auto ds_op = downsample(t1, 0, n);
+
+    ASSERT_TRUE(ds_op.Size(0) == t1.Size(0) / n + 1);
+    for (index_t i = 0; i < ds_op.Size(0); i++) {
+      MatXUtils::MatXTypeCompare(ds_op(i), t1(i * n));
+    }
+  }  
+
+  MATX_EXIT_HANDLER();
+}
+
 TYPED_TEST(OperatorTestsNumericAllExecs, ShiftOp)
 {
   MATX_ENTER_HANDLER();

From 145541b8d155214aec49103a74f0fa8b510e2d6e Mon Sep 17 00:00:00 2001
From: Cliff Burdick <30670611+cliffburdick@users.noreply.github.com>
Date: Wed, 5 Jul 2023 19:45:26 -0700
Subject: [PATCH 2/2] Update operators.h

---
 include/matx/operators/operators.h | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/include/matx/operators/operators.h b/include/matx/operators/operators.h
index c3121bc5c..684eaa89c 100644
--- a/include/matx/operators/operators.h
+++ b/include/matx/operators/operators.h
@@ -58,7 +58,6 @@
 #include "matx/operators/r2c.h"
 #include "matx/operators/remap.h"
 #include "matx/operators/repmat.h"
-#include "matx/operators/resample.h"
 #include "matx/operators/reshape.h"
 #include "matx/operators/reverse.h"
 #include "matx/operators/select.h"
@@ -69,3 +68,4 @@
 #include "matx/operators/slice.h"
 #include "matx/operators/sph2cart.h"
 #include "matx/operators/stack.h"
+#include "matx/operators/updownsample.h"