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dc.contributor.authorYetik, I. S.en_US
dc.contributor.authorKutay, M. A.en_US
dc.contributor.authorÖzaktaş, Haldun. M.en_US
dc.date.accessioned2016-02-08T11:55:10Z
dc.date.available2016-02-08T11:55:10Z
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/11693/27501
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.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of the ASME Design Engineering Technical Conferenceen_US
dc.subjectEigenvalues and eigenfunctionsen_US
dc.subjectFrequency domain analysisen_US
dc.subjectFunctionsen_US
dc.subjectGaussian noise (electronic)en_US
dc.subjectImage processingen_US
dc.subjectSensorsen_US
dc.subjectSignal processingen_US
dc.subjectSignal to noise ratioen_US
dc.subjectBeamformingen_US
dc.subjectFractional fourier transformsen_US
dc.subjectImage representationen_US
dc.subjectFourier transformsen_US
dc.titleThe fractional fourier transform and its applications to image representation and beamformingen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineering
dc.citation.spage771en_US
dc.citation.epage780en_US
dc.citation.volumeNumber5 Aen_US
dc.identifier.doihttp://dx.doi.org/10.1115/DETC2003/VIB-48392


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