Online Distributed ADMM Algorithm With RLS-Based Multitask Graph Filter Models

This article establishes a multitask graph filter model based on the recursive least square (RLS) method and proposes an online distributed alternating direction method of multipliers (ODADMM) algorithm. We are interested in the time-varying graph signal, i.e., the graph filter is estimated from str...

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Vydané v:	IEEE transactions on network science and engineering Ročník 9; číslo 6; s. 4115 - 4128
Hlavní autori:	Lai, Yingcheng, Chen, Feng, Feng, Minyu, Kurths, Jurgen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.11.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Adaptive systems Algorithms Autoregressive processes Computational modeling Convergence distributed Estimation Filters Graph filters graph signal processing Multipliers multitask Signal processing Signal processing algorithms
ISSN:	2327-4697, 2334-329X
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