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A new result on recovery sparse signals using orthogonal matching pursuit 被引量:1
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作者 Xueping Chen Jianzhong Liu Jiandong Chen 《Statistical Theory and Related Fields》 2022年第3期220-226,共7页
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 ob... 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. 展开更多
关键词 Compressed sensing orthogonal matching pursuit Wielandt inequality orthogonal projection matrix
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