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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Bibliographic Details
Published in:IEEE transactions on signal processing 2018-02, Vol.66 (3), p.817-829
Main Authors: Grassi, Francesco, Loukas, Andreas, Perraudin, Nathanael, Ricaud, Benjamin
Format: Article
Language:English
Subjects:
Fourier transforms
graph signal processing
Graphical models
Harmonic analysis
Laplace equations
partial differential equations
Signal processing algorithms
Time-vertex signal processing
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