Continuous and discrete fractional fourier domain decomposition

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dc.citation.epage96en_US
dc.citation.spage93en_US
dc.contributor.authorYetik, İ. Şamilen_US
dc.contributor.authorKutay, M. A.en_US
dc.contributor.authorÖzaktaş, H.en_US
dc.contributor.authorÖzaktaş, Haldun M.en_US
dc.coverage.spatialİstanbul, Turkeyen_US
dc.date.accessioned2016-02-08T11:58:43Z
dc.date.available2016-02-08T11:58:43Z
dc.date.issued2000en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 5-9 June 2000en_US
dc.descriptionConference Name: International Conference on Acoustics, Speech, and Signal Processing, IEEE 2000en_US
dc.description.abstractWe introduce the fractional Fourier domain decomposition for continuous and discrete signals and systems. A procedure called pruning, analogous to truncation of the singular-value decomposition, underlies a number of potential applications, among which we discuss fast implementation of space-variant linear systems.en_US
dc.identifier.doi10.1109/ICASSP.2000.861872en_US
dc.identifier.issn0736-7791en_US
dc.identifier.urihttp://hdl.handle.net/11693/27648
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICASSP.2000.861872en_US
dc.source.titleProceedings of the International Conference on Acoustics, Speech, and Signal Processing, IEEE 2000en_US
dc.subjectAlgorithmsen_US
dc.subjectComputer simulationen_US
dc.subjectEigenvalues and eigenfunctionsen_US
dc.subjectFourier transformsen_US
dc.subjectLinear systemsen_US
dc.subjectMatrix algebraen_US
dc.subjectProbability distributionsen_US
dc.subjectSpectrum analysisen_US
dc.subjectSingular value decompositionen_US
dc.subjectSpace variant systemsen_US
dc.subjectSignal processingen_US
dc.titleContinuous and discrete fractional fourier domain decompositionen_US
dc.typeConference Paperen_US

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