Stationary time-vertex signal processing

Abstract This paper considers regression tasks involving high-dimensional multivariate processes whose structure is dependent on some known graph topology. We put forth a new definition of time-vertex wide-sense stationarity, or joint stationarity for short, that goes beyond product graphs. Joint st...

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Bibliographic Details
Main Authors: Andreas Loukas, Nathanaël Perraudin
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13634-019-0631-7

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