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...
Main Authors: | Andreas Loukas, Nathanaël Perraudin |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-08-01
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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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