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dc.contributor.authorZhang, Xen_US
dc.contributor.authorMa, Yen_US
dc.contributor.authorGao, Yen_US
dc.contributor.authorCui, Sen_US
dc.date.accessioned2017-10-19T13:50:53Z
dc.date.available2017-08-06en_US
dc.date.issued2018-02en_US
dc.date.submitted2017-10-19T01:56:18.741Z
dc.identifier.issn0018-9545en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/28175
dc.format.extent1146 - 1157en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGYen_US
dc.rightsCC-BY
dc.subjectCognitive radioen_US
dc.subjectcompressive wideband spectrum sensingen_US
dc.subjectiterative reweighted least squares (IRLS)en_US
dc.subjectl(v)-norm minimizationen_US
dc.subjectTV white spaceen_US
dc.titleReal-Time Adaptively Regularized Compressive Sensing in Cognitive Radio Networksen_US
dc.typeArticle
dc.rights.holder(c) 2015 IEEE.
dc.identifier.doi10.1109/TVT.2017.2749254en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000425666800025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notesNot knownen_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.organisational-group/Queen Mary University of London/REF
pubs.organisational-group/Queen Mary University of London/REF/REF - S&E - EECS UoA12
pubs.organisational-group/Queen Mary University of London/REF/REF - UoA 12
pubs.publication-statusPublisheden_US
pubs.volume67en_US
qmul.funderTV White Space Testbed with Robust Spectrum Sensing Algorithms for M2M Communications::Engineering and Physical Sciences Research Councilen_US


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