Convexity in source separation: Models, geometry, and algorithms

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dc.citation.epage95en_US
dc.citation.issueNumber3en_US
dc.citation.spage87en_US
dc.citation.volumeNumber31en_US
dc.contributor.authorMcCoy, M. B.en_US
dc.contributor.authorCevher, V.en_US
dc.contributor.authorDinh, Q. T.en_US
dc.contributor.authorAsaei, A.en_US
dc.contributor.authorBaldassarre, L.en_US
dc.date.accessioned2016-02-08T11:01:50Z
dc.date.available2016-02-08T11:01:50Z
dc.date.issued2014en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractSource separation, or demixing, is the process of extracting multiple components entangled within a signal. Contemporary signal processing presents a host of difficult source separation problems, from interference cancellation to background subtraction, blind deconvolution, and even dictionary learning. Despite the recent progress in each of these applications, advances in high-throughput sensor technology place demixing algorithms under pressure to accommodate extremely high-dimensional signals, separate an ever larger number of sources, and cope with more sophisticated signal and mixing models. These difficulties are exacerbated by the need for real-time action in automated decision-making systems. © 1991-2012 IEEE.en_US
dc.identifier.doi10.1109/MSP.2013.2296605en_US
dc.identifier.issn1053-5888
dc.identifier.urihttp://hdl.handle.net/11693/26579
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/MSP.2013.2296605en_US
dc.source.titleIEEE Signal Processing Magazineen_US
dc.subjectConvolutionen_US
dc.subjectSignal processingen_US
dc.subjectBackground subtractionen_US
dc.subjectBlind deconvolutionen_US
dc.subjectDecision-making systemsen_US
dc.subjectDictionary learningen_US
dc.subjectInterference cancellationen_US
dc.subjectMultiple componentsen_US
dc.subjectSensor technologiesen_US
dc.subjectSeparation problemsen_US
dc.subjectAlgorithmsen_US
dc.titleConvexity in source separation: Models, geometry, and algorithmsen_US
dc.typeArticleen_US

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