A New Performance Measure Using k-Set Correlation for Compressed Sensing Matrices
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Seokbeom | - |
dc.contributor.author | Park, Hosung | - |
dc.contributor.author | Shin, Beomkyu | - |
dc.contributor.author | No, Jong-Seon | - |
dc.contributor.author | Chung, Habong | - |
dc.date.accessioned | 2021-12-02T04:44:02Z | - |
dc.date.available | 2021-12-02T04:44:02Z | - |
dc.date.created | 2021-11-29 | - |
dc.date.issued | 2012-03 | - |
dc.identifier.issn | 1070-9908 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/19008 | - |
dc.description.abstract | In this letter, a new performance measure for compressed sensing matrices is proposed. This new measure is based on the k-set correlation vectors whose components consist of the correlation values between two columns in the k-column submatrices of a sensing matrix. This measure is highly related to the restricted isometry property (RIP). And the proposed measure has less computational complexity than the condition number approach which is a typical approach for performance prediction with RIP check. It is shown by simulation that the proposed scheme works well as a performance measure for the compressed sensing matrices. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A New Performance Measure Using k-Set Correlation for Compressed Sensing Matrices | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, Habong | - |
dc.identifier.doi | 10.1109/LSP.2012.2183365 | - |
dc.identifier.scopusid | 2-s2.0-84863082324 | - |
dc.identifier.wosid | 000299507100003 | - |
dc.identifier.bibliographicCitation | IEEE SIGNAL PROCESSING LETTERS, v.19, no.3, pp.143 - 146 | - |
dc.relation.isPartOf | IEEE SIGNAL PROCESSING LETTERS | - |
dc.citation.title | IEEE SIGNAL PROCESSING LETTERS | - |
dc.citation.volume | 19 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 143 | - |
dc.citation.endPage | 146 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordAuthor | Coherence | - |
dc.subject.keywordAuthor | compressed sensing | - |
dc.subject.keywordAuthor | k-set correlation | - |
dc.subject.keywordAuthor | restricted isometry property (RIP) | - |
dc.subject.keywordAuthor | sequences | - |
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