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Electromagnetic Imaging of Closely Spaced Objects Using Matching Pursuit Based Approaches

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dc.contributor.authorSenyuva, Rifat Volkan
dc.contributor.authorOzdemir, Ozgur
dc.contributor.authorKurt, Gunes Karabulut
dc.contributor.authorAnarim, Emin
dc.contributor.ituauthorÖzdemir, Özgür
dc.contributor.ituauthorKarabulut Kurt, Güneş Zeynep
dc.date.accessioned2026-01-25T03:43:21Z
dc.date.issued2016-01-01
dc.description.abstractIn this letter, sparse signal recovery framework is applied for the reconstruction of two closely placed point-like objects from measured scattered electromagnetic field. Greedy matching pursuit-based algorithms are investigated as the sparsity promoting method. The performances of the matching pursuit algorithms are compared against convex relaxation methods. Orthogonal matching pursuit algorithm implemented with a flexible tree structure is shown to improve the resolution for the inverse scattering problem.
dc.description.urihttps://doi.org/10.1109/lawp.2015.2498702
dc.description.urihttps://dx.doi.org/10.1109/lawp.2015.2498702
dc.description.urihttps://publications.polymtl.ca/48307/
dc.identifier.doi10.1109/lawp.2015.2498702
dc.identifier.eissn1548-5757
dc.identifier.endpage1182
dc.identifier.issn1536-1225
dc.identifier.openairedoi_dedup___::58df774c22ebed06fd36b40515e374ee
dc.identifier.orcid0000-0003-2928-0627
dc.identifier.orcid0000-0001-9617-3747
dc.identifier.orcid0000-0001-7188-2619
dc.identifier.orcid0000-0002-3305-7674
dc.identifier.startpage1179
dc.identifier.urihttps://hdl.handle.net/11527/44293
dc.identifier.volume15
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Antennas and Wireless Propagation Letters
dc.rightsCLOSED
dc.titleElectromagnetic Imaging of Closely Spaced Objects Using Matching Pursuit Based Approaches
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0001-9617-3747
person.identifier.orcid0000-0001-7188-2619

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