Signal Processing#
Sub-package containing basic signal and tensor manipulation routines.
Basic routines include tensor resizing (crop and pad), resampling (up- and downsampling), filtering, wavelet and low rank decompsition.
Resize and resampling#
Resize with zero-padding or cropping. |
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Resample a n-dimensional signal. |
Filtering#
Build a n-dimensional Fermi filter. |
Tensor folding and unfolding#
View tensor as overlapping hyperectangular patches, with a given stride. |
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Accumulate patches into a tensor. |
Wavelet decomposition#
Forward wavelet transform. |
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Inverse wavelet transform. |
Signal compression#
Perform root sum-of-squares combination of a signal. |
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Perform SVD compression of a signal. |