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Data-Assisted Low Complexity Compressive Spectrum Sensing on Real-Time Signals Under Sub-Nyquist Rate

dc.contributor.authorQin, Zen_US
dc.contributor.authorGao, Yen_US
dc.contributor.authorParini, CGen_US
dc.date.accessioned2016-01-15T15:01:43Z
dc.date.available2015-09-19en_US
dc.date.issued2016-02en_US
dc.identifier.issn1536-1276en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/10734
dc.descriptionOA MOnitor Exercise
dc.format.extent1174 - 1185en_US
dc.relation.ispartofIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONSen_US
dc.rights•
dc.subjectCompressive spectrum sensingen_US
dc.subjectgeo-location databaseen_US
dc.subjectwideband spectrum sensingen_US
dc.subjectTV white spaceen_US
dc.titleData-Assisted Low Complexity Compressive Spectrum Sensing on Real-Time Signals Under Sub-Nyquist Rateen_US
dc.typeArticle
dc.identifier.doi10.1109/TWC.2015.2485992en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000370949600027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.issue2en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume15en_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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