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dc.contributor.authorAkin Sevimli, R.en_US
dc.contributor.authorTofighi, M.en_US
dc.contributor.authorCetin, A.E.en_US
dc.date.accessioned2016-02-08T11:51:55Z
dc.date.available2016-02-08T11:51:55Z
dc.date.issued2014en_US
dc.identifier.issn22195491
dc.identifier.urihttp://hdl.handle.net/11693/27385
dc.description.abstractCompressive sensing (CS) idea enables the reconstruction of a sparse signal from a small set of measurements. CS approach has applications in many practical areas. One of the areas is radar systems. In this article, the radar ambiguity function is denoised within the CS framework. A new denoising method on the projection onto the epigraph set of the convex function is also developed for this purpose. This approach is compared to the other CS reconstruction algorithms. Experimental results are presented1. © 2014 EURASIP.en_US
dc.language.isoEnglishen_US
dc.source.titleEuropean Signal Processing Conferenceen_US
dc.subjectAmbiguity Functionen_US
dc.subjectCompressive Sensingen_US
dc.subjectDenoisingen_US
dc.subjectRadar Signal Processingen_US
dc.subjectCompressed sensingen_US
dc.subjectDoppler radaren_US
dc.subjectFunctionsen_US
dc.subjectRadar systemsen_US
dc.subjectRadar target recognitionen_US
dc.subjectSignal reconstructionen_US
dc.subjectTracking radaren_US
dc.subjectAmbiguity functionen_US
dc.subjectCompressive sensingen_US
dc.subjectConvex functionsen_US
dc.subjectDe-noisingen_US
dc.subjectDenoising methodsen_US
dc.subjectRadar signal processingen_US
dc.subjectRadar target detectionen_US
dc.subjectReconstruction algorithmsen_US
dc.subjectSignal processingen_US
dc.titleRange-doppler radar target detection using denoising within the compressive sensing frameworken_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage1950en_US
dc.citation.epage1954en_US
dc.publisherEuropean Signal Processing Conference, EUSIPCOen_US


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