l1-2 minimisation for compressed sensing with partially known signal support

被引:5
|
作者
Zhang, Jing [1 ]
Zhang, Shuguang [1 ]
Meng, Xuran [1 ]
机构
[1] Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
关键词
convex programming; signal reconstruction; compressed sensing; partially known signal support; robust signal recovery; robust recovery condition; recovery error estimation; RECOVERY; PROPERTY;
D O I
10.1049/el.2019.3859
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
In this study, the authors mainly discuss the robust signal recovery by $\ell _{1-2}$l1-2 minimisation with incorporating prior support information, which is not considered in previous works. A robust recovery condition is established and an recovery error estimation is obtained, in particular, the obtained results generalise the state-of-the-art ones. In addition, by proposing a modified algorithm, the numerical experiments show that incorporating prior support information for $\ell _{1-2}$l1-2 minimisation exhibits better recovery performance than standard $\ell _{1-2}$l1-2 minimisation.
引用
收藏
页码:405 / 407
页数:3
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