The fractional fourier transform and its applications to image representation and beamforming

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dc.citation.epage780
dc.citation.spage771
dc.contributor.authorYetik, I. Ş
dc.contributor.authorKutay, M. A.
dc.contributor.authorÖzaktaş, Haldun. M.
dc.coverage.spatialChicago, Illinois, USA
dc.date.accessioned2016-02-08T11:55:10Z
dc.date.available2016-02-08T11:55:10Z
dc.date.issued2003-09
dc.departmentDepartment of Electrical and Electronics Engineering
dc.descriptionConference name: ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
dc.descriptionDate of Conference: 2–6 September, 2003
dc.description.abstractThe ath order fractional Fourier transform operator is the ath power of the ordinary Fourier transform operator. We provide a brief introduction to the fractional Fourier transform, discuss some of its more important properties, and concentrate on its applications to image representation and compression, and beamforming. We show that improved performance can be obtained by employing the fractional Fourier transform instead of the ordinary Fourier transform in these applications.
dc.identifier.doi10.1115/DETC2003/VIB-48392
dc.identifier.urihttp://hdl.handle.net/11693/27501
dc.language.isoEnglish
dc.publisherASME
dc.relation.isversionofhttps://doi.org/10.1115/DETC2003/VIB-48392
dc.source.titleProceedings of the ASME Design Engineering Technical Conference
dc.subjectEigenvalues and eigenfunctions
dc.subjectFrequency domain analysis
dc.subjectFunctions
dc.subjectGaussian noise (electronic)
dc.subjectImage processing
dc.subjectSensors
dc.subjectSignal processing
dc.subjectSignal to noise ratio
dc.subjectBeamforming
dc.subjectFractional fourier transforms
dc.subjectImage representation
dc.subjectFourier transforms
dc.titleThe fractional fourier transform and its applications to image representation and beamforming
dc.typeConference Paper

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