Compressed Sensing Phase Retrieval

被引：0
|
作者：
Fannjiang, Albert [1 ]
Liao, Wenjing [1 ]
机构：
[1] Univ Calif Davis, Dept Math, Davis, CA 95616 USA
来源：
2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR) | 2011年
关键词：
POLYNOMIALS;
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：
Theory of absolute uniqueness for phase retrieval with random illumination is presented. Suitable random illumination eliminates all sources of ambiguity, trivial and nontrivial. As a result, random-illumination-aided phase retrieval algorithms can accurately recover objects with a below-Nyquist sampling rate close to the minimum and reduce the number of iterations by order of magnitude.
引用
收藏
页码：735 / 738
页数：4
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