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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Veröffentlicht in:	IEEE transactions on signal processing Jg. 66; H. 3; S. 817 - 829
Hauptverfasser:	Grassi, Francesco, Loukas, Andreas, Perraudin, Nathanael, Ricaud, Benjamin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.02.2018
Schlagworte:	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
Online-Zugang:	Volltext
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