Distributed compressed sensing for biomedical signals

Qun Wang*, Zhiwen Liu

*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

This paper presents a novel iterative greedy algorithm for Distributed Compressed Sensing (DCS) scenario based on backtracking technique, which is denoted by DCS-SAMP. The algorithm can reconstruct several input signals simultaneously, even when the measurements are contaminated with noise and without any prior information of their sparseness. It can provide a fast runtime while also offers comparably theoretical guarantees as the best optimization-based approach. This makes it as a promising candidate for many practical applications,such as Tele-Health or Telemedicine. Numerical experiments are performed to demonstrate the validity and high performance of the proposed DCS-SAMP algorithm for multichannel biomedical signals.

源语言英语
主期刊名Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
252-255
页数4
DOI
出版状态已出版 - 2011
活动2011 3rd International Conference on Awareness Science and Technology, iCAST 2011 - Dalian, 中国
期限: 27 9月 201130 9月 2011

出版系列

姓名Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011

会议

会议2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
国家/地区中国
Dalian
时期27/09/1130/09/11

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