Distributed Adaptive Thresholding Graph Recursive Least Squares Algorithm

In this paper, we present a novel approach for the reconstruction of sparse graph signals using a distributed adaptive thresholding recursive least squares algorithm. Our proposed scheme leverages signal measurements across multiple time steps to estimate the underlying graph signal. To achieve this...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 43; H. 8; S. 4952 - 4967
Hauptverfasser:	Maleki, Nafiseh, Azghani, Masoumeh, Sadeghi, Nasser
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2024 Springer Nature B.V
Schlagworte:	Adaptive algorithms Algorithms Circuits and Systems Cost function Electrical Engineering Electronics and Microelectronics Engineering Instrumentation Least squares method Recovery Recursive functions Signal reconstruction Signal,Image and Speech Processing Sparsity Graph signal processing Recursive least squares Adaptive thresholding
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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