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Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios

Author(s): Hongjian, Sun; Wei-Yu, Chiu; Jing, Jiang; Nallanathan, A; Poor, HV

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dc.contributor.authorHongjian, Sun-
dc.contributor.authorWei-Yu, Chiu-
dc.contributor.authorJing, Jiang-
dc.contributor.authorNallanathan, A-
dc.contributor.authorPoor, HV-
dc.date.accessioned2020-02-19T21:59:44Z-
dc.date.available2020-02-19T21:59:44Z-
dc.date.issued2012-08-10en_US
dc.identifier.citationHongjian, Sun, Wei-Yu, Chiu, Jing, Jiang, Nallanathan, A, Poor, HV. (2012). Wideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radios. IEEE Transactions on Signal Processing, 60 (11), 6068 - 6073. doi:10.1109/TSP.2012.2212892en_US
dc.identifier.issn1053-587X-
dc.identifier.issn1053-587X-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1g773-
dc.description.abstractMulti-rate asynchronous sub-Nyquist sampling (MASS) is proposed for wideband spectrum sensing. Corresponding spectral recovery conditions are derived and the probability of successful recovery is given. Compared to previous approaches, MASS offers lower sampling rate, and is an attractive approach for cognitive radio networks.en_US
dc.format.extent6068 - 6073en_US
dc.language.isoen_USen_US
dc.relation.ispartofIEEE Transactions on Signal Processingen_US
dc.rightsAuthor's manuscripten_US
dc.titleWideband Spectrum Sensing With Sub-Nyquist Sampling in Cognitive Radiosen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1109/TSP.2012.2212892-
dc.identifier.eissn1941-0476-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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