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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…
UNLocBoX: A MATLAB convex optimization toolbox for proximal-splitting methods
Nathanael Perraudin, Vassilis Kalofolias, David Shuman +1
Convex optimization is an essential tool for machine learning, as many of its problems can be formulated as minimization problems of specific objective functions. While there is a…
Learning parametric dictionaries for graph signals
Dorina Thanou, David I Shuman, Pascal Frossard
In sparse signal representation, the choice of a dictionary often involves a tradeoff between two desirable properties -- the ability to adapt to specific signal data and a fast im…