Optimal Filtering with Linear Canonical Transformations

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buir.contributor.authorHaldun M. Özaktaş
dc.citation.epage36en_US
dc.citation.issueNumber1-3en_US
dc.citation.spage32en_US
dc.citation.volumeNumber135en_US
dc.contributor.authorBarshan, B.
dc.contributor.authorKutay, M. A.
dc.contributor.authorÖzaktaş, Haldun M.
dc.date.accessioned2015-07-28T11:56:07Z
dc.date.available2015-07-28T11:56:07Z
dc.date.issued1997-02-01en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractOptimal filtering with linear canonical transformations allows smaller mean-square errors in restoring signals degraded by linear time- or space-variant distortions and non-stationary noise. This reduction in error comes at no additional computational cost. This is made possible by the additional flexibility that comes with the three free parameters of linear canonical transformations, as opposed to the fractional Fourier transform which has only one free parameter, and the ordinary Fourier transform which has none. Application of the method to severely degraded images is shown to be significantly superior to filtering in fractional Fourier domains in certain cases.en_US
dc.identifier.doi10.1016/S0030-4018(96)00598-6en_US
dc.identifier.issn0030-4018
dc.identifier.urihttp://hdl.handle.net/11693/10861
dc.language.isoEnglishen_US
dc.publisherElsevier BV * North-Hollanden_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/S0030-4018(96)00598-6en_US
dc.source.titleOptics Communicationsen_US
dc.subjectFractional Fourier-transformen_US
dc.subjectOpticsen_US
dc.titleOptimal Filtering with Linear Canonical Transformationsen_US
dc.typeArticleen_US

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