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New performance measure for compressive sensing matrices using k-set correlation

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dc.contributor.authorHong, S.-
dc.contributor.authorPark, H.-
dc.contributor.authorShin, B.-
dc.contributor.authorNo, J.-S.-
dc.contributor.authorChung, H.-
dc.date.accessioned2021-12-17T04:42:12Z-
dc.date.available2021-12-17T04:42:12Z-
dc.date.created2021-12-16-
dc.date.issued2010-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/21650-
dc.description.abstractIn this paper, we propose l2-norm of k-set correlation as a new performance measure for compressive sensing matrices. We show that this measure is highly related to restricted isometry property. And we also demonstrate by simulation that it works well as a performance measure of sensing matrices. © 2010 IEEE.-
dc.language영어-
dc.language.isoen-
dc.titleNew performance measure for compressive sensing matrices using k-set correlation-
dc.typeArticle-
dc.contributor.affiliatedAuthorChung, H.-
dc.identifier.doi10.1109/ICTC.2010.5674711-
dc.identifier.scopusid2-s2.0-78751485640-
dc.identifier.bibliographicCitation2010 International Conference on Information and Communication Technology Convergence, ICTC 2010, pp.111 - 112-
dc.relation.isPartOf2010 International Conference on Information and Communication Technology Convergence, ICTC 2010-
dc.citation.title2010 International Conference on Information and Communication Technology Convergence, ICTC 2010-
dc.citation.startPage111-
dc.citation.endPage112-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
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