Nonsubsampled Graph Filter Banks: Theory and Distributed Algorithms

In this paper, we consider nonsubsampled graph filter banks (NSGFBs) to process data on a sparse graph. The analysis filter banks of NSGFBs have small bandwidth, pass/block the normalized constant signal, and have stability on ℓ 2 . Given an analysis filter bank with small bandwidth, we introduce al...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 67; H. 15; S. 3938 - 3953
Hauptverfasser:	Jiang, Junzheng, Cheng, Cheng, Sun, Qiyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Bandwidth Data processing distributed algorithm Filter banks graph filter bank Graph signal processing Iterative algorithms Iterative methods Laplace equations Noise Noise (mathematics) Noise reduction nonsubsampled Optimization Shot noise Signal reconstruction spatially distributed network Stability analysis Symmetric matrices Wavelet transforms
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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