Multigrid Based Sparse Recovery Method for Multidimensional Harmonic Retrieval

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dc.authoridŞenyuva, Rıfat Volkan/0000-0003-2928-0627en_US
dc.contributor.authorŞenyuva, Rıfat Volkan
dc.contributor.authorAnarim, Emin
dc.date.accessioned2024-07-12T21:40:37Z
dc.date.available2024-07-12T21:40:37Z
dc.date.issued2020en_US
dc.department[Belirlenecek]en_US
dc.description28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORKen_US
dc.description.abstractIn this paper the application of a multigrid based sparse recovery method for multidimensional harmonic retrieval is investigated. Multidimensional modal estimation problem is formulated as a simultaneous sparse recovery problem for each dimension and then the signal parameters are estimated using a multigrid dictionary refinement scheme. Performance of the proposed method is compared against 2-D ESPRIT and Cramer-Rao lower bounds in numerical simulations.en_US
dc.description.sponsorshipIstanbul Medipol Univen_US
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12415/7388
dc.identifier.wosWOS:000653136100191en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Science
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2020 28th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY08729
dc.subjectMultidimensional Harmonic Retrievalen_US
dc.subjectFrequency Estimationen_US
dc.subjectSimultaneous Sparse Approximationen_US
dc.titleMultigrid Based Sparse Recovery Method for Multidimensional Harmonic Retrievalen_US
dc.typeConference Object
dspace.entity.typePublication

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