Low-Pass Filtering of Irregularly Sampled Signals Using a Set Theoretic Framework

buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage121en_US
dc.citation.issueNumber4en_US
dc.citation.spage117en_US
dc.citation.volumeNumber28en_US
dc.contributor.authorKose, K.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.date.accessioned2015-07-28T12:00:55Z
dc.date.available2015-07-28T12:00:55Z
dc.date.issued2011-06-15en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractIn this article, the goal is to show that it is possible to filter nonuniformly sampled signals according to specs defined in the Fourier domain. In many practical applications, it is necessary to filter irregularly sampled data including seismic signal processing, synthetic aperture radar (SAR) imaging systems, three-dimensional (3-D) meshes, and digital terrain models [1], [2].en_US
dc.description.provenanceMade available in DSpace on 2015-07-28T12:00:55Z (GMT). No. of bitstreams: 1 10.1109-MSP.2011.941098.pdf: 1914542 bytes, checksum: 576270a3414539df69834e3df22926e4 (MD5)en
dc.identifier.doi10.1109/MSP.2011.941098en_US
dc.identifier.issn1053-5888
dc.identifier.urihttp://hdl.handle.net/11693/12283
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/MSP.2011.941098en_US
dc.source.titleIEEE Signal Processing Magazineen_US
dc.titleLow-Pass Filtering of Irregularly Sampled Signals Using a Set Theoretic Frameworken_US
dc.typeArticleen_US

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