On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit

On Recovery of Block Sparse Signals via Block Compressive Sampling Matching Pursuit

Compressive sampling matching pursuit (CoSaMP) is an efficient reconstruction algorithm for sparse signal. When the signal is block sparse, i.e., the non-zero elements are presented in clusters, some block sparse reconstruction algorithms have been proposed accordingly. In this paper, we present a n...

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Bibliographic Details
Main Authors: Xiaobo Zhang, Wenbo Xu, Yupeng Cui, Liyang Lu, Jiaru Lin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Compressed sensing
block sparse
block compressive sampling matching pursuit
block restricted isometry property
Online Access:https://ieeexplore.ieee.org/document/8911442/

Internet

https://ieeexplore.ieee.org/document/8911442/

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