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Sparsity-undersampling tradeoff of compressed sensing in the complex domain

  • Nanyang Technological University

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

In this paper, recently developed ONE-L1 algorithms for compressed sensing are applied to complex-valued signals and sampling matrices. The optimal and iterative solution of ONE-L1 algorithms enables empirical investigation and evaluation of the sparsity-undersampling tradeoff of ℓ1 minimization of complex-valued signals. A remarkable finding is that, not only there exists a sharp phase transition for the complex case determining the behavior of the sparsity-undersampling tradeoff, but also this phase transition is different and superior to that for the real case, providing a significantly improved success phase in the transition plane.

源语言英语
主期刊名2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
3668-3671
页数4
DOI
出版状态已出版 - 2011
已对外发布
活动36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, 捷克共和国
期限: 22 5月 201127 5月 2011

出版系列

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

会议

会议36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
国家/地区捷克共和国
Prague
时期22/05/1127/05/11

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