Stationary time-vertex signal processing.

Graph signal processing Harmonic analysis Multivariate time-vertex processes PSD estimation Stationarity

Journal

EURASIP journal on advances in signal processing
ISSN: 1687-6172
Titre abrégé: EURASIP J Adv Signal Process
Pays: United States
ID NLM: 101480232

Informations de publication

Date de publication:
2019
Historique:
received: 29 11 2018
accepted: 02 07 2019
entrez: 28 1 2020
pubmed: 28 1 2020
medline: 28 1 2020
Statut: ppublish

Résumé

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

Identifiants

pubmed: 31983922
doi: 10.1186/s13634-019-0631-7
pii: 631
pmc: PMC6951473
doi:

Types de publication

Journal Article

Langues

eng

Pagination

36

Informations de copyright

© The Author(s) 2019.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare that they have no competing interests.

Références

Biometrika. 1950 Jun;37(1-2):1-16
pubmed: 15420244
J R Soc Interface. 2005 Sep 22;2(4):295-307
pubmed: 16849187
IEEE J Sel Top Signal Process. 2016 Oct;10(7):1189-1203
pubmed: 28439325

Auteurs

Andreas Loukas (A)

1Laboratoire de Traitement des Signaux 2, École Polytechnique Fédérale Lausanne, Lausanne, 1015 Switzerland.

Nathanaël Perraudin (N)

2Swiss Data Science Center, Eidgenössische Technische Hochschule Zürich, Universitätstrasse 25, Zürich, 8006 Switzerland.

Classifications MeSH