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

deepmr.resize	Resize with zero-padding or cropping.
deepmr.resample	Resample a n-dimensional signal.

Filtering

deepmr.fermi

Build a n-dimensional Fermi filter.

Tensor folding and unfolding

deepmr.tensor2patches	View tensor as overlapping hyperectangular patches, with a given stride.
deepmr.patches2tensor	Accumulate patches into a tensor.

Wavelet decomposition

deepmr.fwt	Forward wavelet transform.
deepmr.iwt	Inverse wavelet transform.

Signal compression

deepmr.rss	Perform root sum-of-squares combination of a signal.
deepmr.svd	Perform SVD compression of a signal.