NDLI: Perturbed block orthogonal matching pursuit

Content Provider	IET Digital Library
Author	Cui, Yupeng Xu, Wenbo Tian, Yun Lin, Jiaru
Abstract	The block orthogonal matching pursuit (BOMP) algorithm is an efficient method in compressed sensing (CS) for the reconstruction of block-sparse signals, whose non-zero entries occur in clusters. However, due to the non-ideal factors in practice, there exits perturbation in the CS system, which may cause significant performance degradation during reconstruction. In this Letter, a perturbed BOMP algorithm is presented to deal with this problem, which extends BOMP algorithm to the perturbation case. The proposed algorithm performs controlled perturbation on each selected block of support vectors to decrease the orthogonal residual at each iteration. Moreover, the condition of successful reconstruction is derived. Simulation results demonstrate the effectiveness and robustness of the proposed algorithm.
Starting Page	1300
Ending Page	1302
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 22, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/22
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.5050
Journal	Electronics Letters
Publisher Date	2018-09-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Block Orthogonal Matching Pursuit Algorithm Block-sparse Signal Compressed Sensing CS System Interpolation And Function Approximation Iterative Method Nonideal Factors Nonzero Entries Numerical Analysis Orthogonal Residual Performance Degradation Perturbed Block Orthogonal Matching Pursuit Perturbed BOMP Algorithm Selected Block Signal Processing And Detection Signal Processing Theory Signal Reconstruction Successful Reconstruction Condition
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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