Sequentially Designed Compressed Sensing

被引：0
|
作者：
Haupt, Jarvis [1 ]
Baraniuk, Richard [2 ]
Castro, Rui [3 ]
Nowak, Robert [4 ]
机构：
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
[2] Rice Univ, Dept Elect & Comp Engn, Houston, TX 77005 USA
[3] Eindhoven Univ Technol, Dept Math, Eindhoven, Netherlands
[4] Univ Wisconsin, Dept Elect & Comp Engn, Madison, WI 53706 USA
来源：
2012 IEEE STATISTICAL SIGNAL PROCESSING WORKSHOP (SSP) | 2012年
关键词：
Adaptive sensing; compressed sensing; support recovery; RECOVERY;
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：
A sequential adaptive compressed sensing procedure for signal support recovery is proposed and analyzed. The procedure is based on the principle of distilled sensing, and makes used of sparse sensing matrices to perform sketching observations able to quickly identify irrelevant signal components. It is shown that adaptive compressed sensing enables recovery of weaker sparse signals than those that can be recovered using traditional non-adaptive compressed sensing approaches.
引用
收藏
页码：401 / 404
页数：4
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