1-Bit compressed sensing of positive semi-definite matrices via rank-1 measurement matrices

Xiyuan Wang, Kun Wang, Zhongshan Zhang*, Keping Long

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we investigate the problem of recovering positive semi-definite (PSD) matrix from 1-bit sensing. The measurement matrix is rank-1 and constructed by the outer product of a pair of vectors, whose entries are independent and identically distributed (i.i.d.) Gaussian variables. The recovery problem is solved in closed form through a convex programming. Our analysis reveals that the solution is biased in general. However, in case of error-free measurement, we find that for rank-r PSD matrix with bounded condition number, the bias decreases with an order of O(1/r). Therefore, an approximate recovery is still possible. Numerical experiments are conducted to verify our analysis.

源语言英语
主期刊名2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
4613-4617
页数5
ISBN(电子版)9781479999880
DOI
出版状态已出版 - 18 5月 2016
已对外发布
活动41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, 中国
期限: 20 3月 201625 3月 2016

出版系列

姓名ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2016-May
ISSN(印刷版)1520-6149

会议

会议41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
国家/地区中国
Shanghai
时期20/03/1625/03/16

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