A New Analysis for Support Performance with Block Generalized Orthogonal Matching Pursuit

C. Y. Xia, Z. L. Zhou, Chun-Bo Guo, Y. S. Hao and C. B. Hou

Mathematical Problems in Engineering, 2021, vol. 2021, 1-7

Abstract:

For recovering block-sparse signals with unknown block structures using compressive sensing, a block orthogonal matching pursuit- (BOMP-) like block generalized orthogonal matching pursuit (BgOMP) algorithm has been proposed recently. This paper focuses on support conditions of recovery of any - sparse block signals incorporating BgOMP under the framework of restricted isometry property (RIP). The proposed support conditions guarantee that BgOMP can achieve accurate recovery block-sparse signals within iterations.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:9438793

DOI: 10.1155/2021/9438793

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