SEMI-DETERMINISTIC TERNARY MATRIX FOR COMPRESSED SENSING

被引：0

作者：

Lu, Weizhi ^{[1
]}

Kpalma, Kidiyo ^{[1
]}

Ronsin, Joseph ^{[1
]}

机构：

[1] Univ Europeenne Bretagne, INSA, IETR, UMR CNRS 6164, F-35708 Rennes, France

来源：

2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2014年

关键词：

random matrix; ternary matrix; compressed sensing; RIP; deterministic; semi-deterministic; RESTRICTED ISOMETRY PROPERTY; PURSUIT; BOUNDS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

For the random {0,+/- 1} ternary matrix, it is interesting to determine the number of nonzero elements required for good compressed sensing performance. By seeking the best RIP, this paper proposes a semi-deterministic ternary matrix, which is of deterministic nonzero positions but random signs. In practice, it presents better performance than common random ternary matrices and Gaussian random matrices.

引用

页码：2230 / 2234

页数：5

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