rwavelet - Wavelet Analysis
Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholding, block thresholding, linear,...) with applications to data compression, denoising/regression or clustering. The core of the code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki and M. Shahram (<https://statweb.stanford.edu/~wavelab/>).
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machine-learningregressionwavelet
5.01 score 5 stars 41 scripts 206 downloadsgasper - Graph Signal Processing
Provides the standard operations for signal processing on graphs: graph Fourier transform, spectral graph wavelet transform, visualization tools. It also implements a data driven method for graph signal denoising/regression, for details see De Loynes, Navarro, Olivier (2019) <arxiv:1906.01882>. The package also provides an interface to the SuiteSparse Matrix Collection, <https://sparse.tamu.edu/>, a large and widely used set of sparse matrix benchmarks collected from a wide range of applications.
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data-sciencegraphgraph-signal-processinggraph-waveletmachine-learningspectral-graph-theorystatisticssuitesparsewavelet-transformopenblascpp
4.55 score 8 stars 44 scripts 235 downloads