Improved bounds on restricted isometry constant for orthogonal matching pursuit

被引:31
|
作者
Wen, Jinming [1 ]
Zhu, Xiaomei [2 ,4 ]
Li, Dongfang [1 ,3 ]
机构
[1] McGill Univ, Dept Math & Stat, Montreal, PQ H3A 2K6, Canada
[2] Nanjing Univ Technol, Coll Elect & Informat Engn, Nanjing 211816, Jiangsu, Peoples R China
[3] Huazhong Univ Sci & Technol, Sch Math & Stat, Wuhan 430074, Peoples R China
[4] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 2K6, Canada
关键词
RECOVERY;
D O I
10.1049/el.2013.2222
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
First, a counter example is constructed to show that for any given positive integer K >= 2 and for any (1/root K + 1) <= t < 1, there always exists a K- sparse x and a matrix A with the restricted isometry constant delta(K+1) = t such that the orthogonal matching pursuit (OMP) algorithm fails in K iterations. Secondly, it is shown that even when delta(K+1) = (1/(root K + 1)), the OMP algorithm can also perfectly recover every K- sparse vector x from y = Ax in K iterations. This improves the best existing results which were independently given by Mo and Shen and Wang and Shim.
引用
收藏
页码:1487 / 1489
页数:2
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