A new result on recovery sparse signals using orthogonal matching pursuit 被引量：1

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摘要 Orthogonal matching pursuit(OMP)algorithm is a classical greedy algorithm widely used in compressed sensing.In this paper,by exploiting the Wielandt inequality and some properties of orthogonal projection matrix,we obtained a new number of iterations required for the OMP algorithm to perform exact recovery of sparse signals,which improves significantly upon the latest results as we know.

作者 Xueping Chen Jianzhong Liu Jiandong Chen

机构地区 School of Mathematics and Physics

出处《Statistical Theory and Related Fields》 2022年第3期220-226,共7页 统计理论及其应用（英文）

基金 support from the National Natural Science Foundation of China No.11971204 Natural Science Foundation of Jiangsu Province of China No.BK20200108 the Zhongwu Youth Innovative Talent Program of Jiangsu University of Technology.

关键词 Compressed sensing orthogonal matching pursuit Wielandt inequality orthogonal projection matrix

分类号 O17 [理学—基础数学]

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参考文献1

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