An efficient algorithm with fast convergence rate for sparse graph signal reconstruction

Abstract In this paper, we consider the graph signals are sparse in the graph Fourier domain and propose an iterative threshold compressed sensing reconstruction (ITCSR) algorithm to reconstruct sparse graph signals in the graph Fourier domain. The proposed ITCSR algorithm derives from the well-know...

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Principais autores:	Yuting Cao, Xue-Qin Jiang, Jian Wang, Shubo Zhou, Xinxin Hou
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2024-03-01
Series:	EURASIP Journal on Advances in Signal Processing
Assuntos:	Sparse graph signals Iterative threshold compressed sensing reconstruction (ITCSR) Graph Fourier domain Compressed sensing (CS)
Acceso en liña:	https://doi.org/10.1186/s13634-024-01133-3
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