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Design of Digital Filters with Bilinear Transform Using Neural Networks

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dc.contributor.authorYavuz, Oguzhan
dc.contributor.authorYildirim, Tuelay
dc.contributor.institutionauthorYILDIRIM, Tülay
dc.date.accessioned2026-06-27T13:06:44Z
dc.date.issued2008
dc.description.abstractIn this study, design of digital filters obtained from the analog filter with bilinear transform using neural networks is proposed. For this purpose, generally, function approximation feature of the feedforward neural networks is utilized. Proposed method has been tested using Multilayer Perceptron (MLP), Radial Basis Function Network (RBFN) and General Regression Neural Network (GRNN) and obtained results are given.en
dc.identifier.endpage652
dc.identifier.isbn978-1-4244-1998-2
dc.identifier.startpage649
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49887
dc.identifier.wos000261359200160
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceIEEE 16th Signal Processing and Communications Applications Conference
dc.relation.ispartof2008 IEEE 16TH SIGNAL PROCESSING, COMMUNICATION AND APPLICATIONS CONFERENCE, VOLS 1 AND 2
dc.subjectEngineering
dc.subjectImaging Science & Photographic Technology
dc.subjectTelecommunications
dc.titleDesign of Digital Filters with Bilinear Transform Using Neural Networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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