Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6676
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dc.contributor.authorGürbüz, Ali Cafer-
dc.contributor.authorPilancı, Mert-
dc.contributor.authorArıkan, Orhan-
dc.date.accessioned2021-09-11T15:43:09Z-
dc.date.available2021-09-11T15:43:09Z-
dc.date.issued2012en_US
dc.identifier.citationIEEE International Conference on Acoustics, Speech and Signal Processing -- MAR 25-30, 2012 -- Kyoto, JAPANen_US
dc.identifier.isbn978-1-4673-0046-9-
dc.identifier.issn1520-6149-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6676-
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.en_US
dc.description.sponsorshipInst Elect & Elect Engineers, Signal Processing Soc, IEEEen_US
dc.description.sponsorshipTUBITAK within Career program grant Compressive remote sensing and imagingTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109E280]; FP7 Marie Curie IRG grant Compressive Data Acquisition and Processing Techniques for Sensing Applications [PIRG04-GA-2008-239506]en_US
dc.description.sponsorshipThis work was supported by TUBITAK within Career program grant Compressive remote sensing and imaging with project number 109E280 and within FP7 Marie Curie IRG grant Compressive Data Acquisition and Processing Techniques for Sensing Applications with project number PIRG04-GA-2008-239506.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2012 IEEE International Conference On Acoustics, Speech And Signal Processing (Icassp)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectsparse reconstructionen_US
dc.subjectcompressive sensingen_US
dc.subjectgreedy methodsen_US
dc.subjectexpectation maximizationen_US
dc.titleExpectation Maximization Based Matching Pursuiten_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesInternational Conference on Acoustics Speech and Signal Processing ICASSPen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage3313en_US
dc.identifier.endpage3316en_US
dc.authorid0000-0001-8923-0299-
dc.authorid0000-0002-0870-9992-
dc.authorid0000-0002-3698-8888-
dc.identifier.wosWOS:000312381403097en_US
dc.identifier.scopus2-s2.0-84867589179en_US
dc.institutionauthorGürbüz, Ali Cafer-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conferenceIEEE International Conference on Acoustics, Speech and Signal Processingen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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