A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Representations for Time-Series on Graphs

An emerging way to deal with high-dimensional noneuclidean data is to assume that the underlying structure can be captured by a graph. Recently, ideas have begun to emerge related to the analysis of time-varying graph signals. This paper aims to elevate the notion of joint harmonic analysis to a ful...

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Vydané v:	IEEE transactions on signal processing Ročník 66; číslo 3; s. 817 - 829
Hlavní autori:	Grassi, Francesco, Loukas, Andreas, Perraudin, Nathanael, Ricaud, Benjamin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2018
Predmet:	Fourier transforms graph signal processing Graphical models Harmonic analysis Laplace equations partial differential equations Signal processing algorithms Time-vertex signal processing
ISSN:	1053-587X, 1941-0476
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