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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-03-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13634-024-01133-3 |