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Scalable -Channel Critically Sampled Filter Banks for Graph Signals
Shuni Li, Yan Jin, David I Shuman
We investigate a scalable -channel critically sampled filter bank for graph signals, where each of the filters is supported on a different subband of the graph Laplacian spe…
GSPBOX: A toolbox for signal processing on graphs
Nathanaël Perraudin, Johan Paratte, David Shuman +4
This document introduces the Graph Signal Processing Toolbox (GSPBox) a framework that can be used to tackle graph related problems with a signal processing approach. It explains t…
A Multiscale Pyramid Transform for Graph Signals
David I Shuman, Mohammad Javad Faraji, Pierre Vandergheynst
Multiscale transforms designed to process analog and discrete-time signals and images cannot be directly applied to analyze high-dimensional data residing on the vertices of a weig…