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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Vydané v:	Proceedings of the IEEE Ročník 106; číslo 5; s. 808 - 828
Hlavní autori:	Ortega, Antonio, Frossard, Pascal, Kovacevic, Jelena, Moura, Jose M. F., Vandergheynst, Pierre
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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