On Local Distributions in Graph Signal Processing

Graph filtering is the cornerstone operation in graph signal processing (GSP). Thus, understanding it is key in developing potent GSP methods. Graph filters are local and distributed linear operations, whose output depends only on the local neighborhood of each node. Moreover, a graph filter's...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on signal processing 2022, Vol.70, p.5564-5577
Hauptverfasser:	Roddenberry, T. Mitchell, Gama, Fernando, Baraniuk, Richard G., Segarra, Santiago
Format:	Artikel
Sprache:	eng
Schlagworte:	Convergence Filtering theory graph filtering graph Fourier transform Graph neural networks Graph signal processing graphing signal processing Graphs Information filters Nonlinear filters Operators (mathematics) Polynomials Signal processing Sparse matrices transferability weak convergence
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!