Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/101064
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dc.contributor.authorTan, M.en
dc.contributor.authorTsang, I.en
dc.contributor.authorWang, L.en
dc.date.issued2015en
dc.identifier.citationIEEE Transactions on Signal Processing, 2015; 63(3):742-753en
dc.identifier.issn1053-587Xen
dc.identifier.issn1941-0476en
dc.identifier.urihttp://hdl.handle.net/2440/101064-
dc.description.abstractIn Part I, a Matching Pursuit LASSO (MPL) algorithm has been presented for solving large-scale sparse recovery (SR) problems. In this paper, we present a subspace search to further improve the performance of MPL, and then continue to address another major challenge of SR-batch SR with many signals, a consideration which is absent from most of previous l1-norm methods. A batch-mode MPL is developed to vastly speed up sparse recovery of many signals simultaneously. Comprehensive numerical experiments on compressive sensing and face recognition tasks demonstrate the superior performance of MPL and BMPL over other methods considered in this paper, in terms of sparse recovery ability and efficiency. In particular, BMPL is up to 400 times faster than existing l1-norm methods considered to be state-of-the-art.en
dc.description.statementofresponsibilityMingkui Tan, Ivor W. Tsang, and Li Wangen
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineersen
dc.rights© 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.en
dc.subjectBatch mode LASSO; big dictionary; compressive sensing; face recognition; sparse recoveryen
dc.titleMatching pursuit LASSO part II: applications and sparse recovery over batch signalsen
dc.typeJournal articleen
dc.identifier.rmid0030021099en
dc.identifier.doi10.1109/TSP.2014.2385660en
dc.relation.granthttp://purl.org/au-research/grants/arc/FT130100746en
dc.relation.granthttp://purl.org/au-research/grants/arc/DE120101161en
dc.relation.granthttp://purl.org/au-research/grants/arc/DP140102270en
dc.identifier.pubid170389-
pubs.library.collectionComputer Science publicationsen
pubs.library.teamDS11en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Computer Science publications

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