Compressive Sensing with Optimal Sparsifying Basis and Applications in Spectrum Sensing

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Compressive Sensing with Optimal Sparsifying Basis and Applications in Spectrum Sensing

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dc.contributor.author Vlah, Dario
dc.contributor.author Kung, H.T. T.
dc.contributor.author Gwon, Youngjune Lee
dc.date.accessioned 2012-12-06T15:03:08Z
dc.date.issued 2012
dc.identifier.citation Gwon, Youngjune, H.T. Kung, and Dario Vlah. 2012. Compressive sensing with optimal sparsifying basis and applications in spectrum sensing. Paper presented at IEEE 2012 Global Telecommunications Conference (GLOBECOM 2012), Annaheim, CA, December 3-7, 2012. en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:10000991
dc.description.abstract We describe a method of integrating Karhunen-Loève Transform (KLT) into compressive sensing, which can as a result improve the compression ratio without affecting the accuracy of decoding. We present two complementary results: 1) by using KLT to find an optimal basis for decoding we can drastically reduce the number of measurements for compressive sensing used in applications such as radio spectrum analysis; 2) by using compressive sensing we can estimate and recover the KLT basis from compressive measurements of an input signal. In particular, we propose CS-KLT, an online estimation algorithm to cope with nonstationarity of wireless channels in reality. We validate our results with empirical data collected from a wideband UHF spectrum and eld experiments to detect multiple radio transmitters, using software-defined radios. en_US
dc.description.sponsorship Engineering and Applied Sciences en_US
dc.language.iso en_US en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.relation.hasversion http://www.eecs.harvard.edu/~htk/publication/2012-globecom-gwon-kung-vlah.pdf en_US
dash.license LAA
dc.title Compressive Sensing with Optimal Sparsifying Basis and Applications in Spectrum Sensing en_US
dc.type Conference Paper en_US
dc.description.version Author's Original en_US
dash.depositing.author Kung, H.T. T.
dc.date.available 2012-12-06T15:03:08Z

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  • FAS Scholarly Articles [6885]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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