完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chang, Ling-Hua | en_US |
dc.contributor.author | Wu, Jwo-Yuh | en_US |
dc.date.accessioned | 2016-03-28T00:05:41Z | - |
dc.date.available | 2016-03-28T00:05:41Z | - |
dc.date.issued | 2014-01-01 | en_US |
dc.identifier.isbn | 978-4-88552-292-5 | en_US |
dc.identifier.issn | en_US | |
dc.identifier.uri | http://hdl.handle.net/11536/129762 | - |
dc.description.abstract | Stability of sparse signal reconstruction in the noisy case via orthogonal matching pursuit has been widely studied in the literature of compressive sensing. To guarantee exact support identification under l(2)/l(infinity) -norm bounded noise, sufficient conditions, characterized in terms of the restricted isometry constant and the minimum magnitude of the signal components, were reported in [2]. In this paper, we derive a less conservative set of sufficient conditions of the same kind. Our analyses exploit a newly developed "near-orthogonality" condition, which specifies the achievable angles between two compressed orthogonal sparse vectors. Thus, our improved performance guarantee benefits from more explicit knowledge about the geometry of the compressed space. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | compressive sensing | en_US |
dc.subject | restricted isometry property (RIP) | en_US |
dc.subject | restricted isometry constant (RIC) | en_US |
dc.subject | orthogonal matching pursuit (OMP) | en_US |
dc.title | An Improved RIP-Based Performance Guarantee for Sparse Signal Reconstruction with Noise via Orthogonal Matching Pursuit | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2014 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA) | en_US |
dc.citation.spage | 70 | en_US |
dc.citation.epage | 74 | en_US |
dc.contributor.department | 電信工程研究所 | zh_TW |
dc.contributor.department | Institute of Communications Engineering | en_US |
dc.identifier.wosnumber | WOS:000366046700015 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 會議論文 |