Graph Signal Processing: Overview, Challenges, and Applications

Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper, we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing, along with a brief historical perspective to highli...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 106; H. 5; S. 808 - 828
Hauptverfasser:	Ortega, Antonio, Frossard, Pascal, Kovacevic, Jelena, Moura, Jose M. F., Vandergheynst, Pierre
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Data models Data processing Digital signal processing Digital signal processors Filtration Graph signal processing (GSP) Graph theory Graphical models Image processing Laplace equations Machine learning network science and graphs sampling Sampling methods Signal processing Social network services
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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