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dc.contributor.authorGurbuz, A.C.en_US
dc.contributor.authorPilanci, M.en_US
dc.contributor.authorArikan, O.en_US
dc.date.accessioned2016-02-08T12:12:33Z
dc.date.available2016-02-08T12:12:33Z
dc.date.issued2012en_US
dc.identifier.issn15206149en_US
dc.identifier.urihttp://hdl.handle.net/11693/28153
dc.description.abstractA novel expectation maximization based matching pursuit (EMMP) algorithm is presented. The method uses the measurements as the incomplete data and obtain the complete data which corresponds to the sparse solution using an iterative EM based framework. In standard greedy methods such as matching pursuit or orthogonal matching pursuit a selected atom can not be changed during the course of the algorithm even if the signal doesn't have a support on that atom. The proposed EMMP algorithm is also flexible in that sense. The results show that the proposed method has lower reconstruction errors compared to other greedy algorithms using the same conditions. © 2012 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.titleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICASSP.2012.6288624en_US
dc.subjectcompressive sensingen_US
dc.subjectexpectation maximizationen_US
dc.subjectgreedy methodsen_US
dc.subjectsparse reconstructionen_US
dc.subjectCompressive sensingen_US
dc.subjectExpectation Maximizationen_US
dc.subjectGreedy algorithmsen_US
dc.subjectGreedy methoden_US
dc.subjectIncomplete dataen_US
dc.subjectMatching pursuiten_US
dc.subjectOrthogonal matching pursuiten_US
dc.subjectReconstruction erroren_US
dc.subjectSparse reconstructionen_US
dc.subjectSparse solutionsen_US
dc.subjectChannel estimationen_US
dc.subjectIterative methodsen_US
dc.subjectMaximum principleen_US
dc.subjectSignal processingen_US
dc.subjectAlgorithmsen_US
dc.titleExpectation maximization based matching pursuiten_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage3313en_US
dc.citation.epage3316en_US
dc.identifier.doi10.1109/ICASSP.2012.6288624en_US


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