Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5580
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dc.contributor.authorVachhani, Khyati-
dc.date.accessioned2015-07-14T06:55:50Z-
dc.date.available2015-07-14T06:55:50Z-
dc.date.issued2012-04-21-
dc.identifier.citationNational Conference on Digital Convergence, Department of ECE, R.M.K. Engineering College, Kavaraipettai, Tamilnadu 601 206, April 21, 2012en_US
dc.identifier.urihttp://hdl.handle.net/123456789/5580-
dc.description.abstractThe Eigenfilter method for digital filter design involves the computation of filter coefficients as the eigenvector of an appropriate Hermitian matrix by Rayleigh principle. As opposed to the least-squares approach, which requires the computation of a matrix inverse which may be susceptible to numerical inaccuracies, the Eigenfilter method has a much lower design complexity and remains robust even when ill-conditioned matrices are present in the design problem. In this paper, focus is on designing real coefficient FIR and IIR filters having real coefficients and analyzing the magnitude response of various designs with given same specifications with adequate comparisons.en_US
dc.relation.ispartofseriesITFEC044-3;-
dc.subjectLeast Squareen_US
dc.subjectRayleigh Principleen_US
dc.subjectEigenfilteren_US
dc.subjectPositive Definiteen_US
dc.subjectHermitian Matrixen_US
dc.subjectReal Coefficientsen_US
dc.subjectError Measureen_US
dc.subjectEC Faculty Paperen_US
dc.subjectFaculty Paperen_US
dc.subjectITFEC044en_US
dc.titleDesign and Analysis of FIR, IFIR and IIR Digital FIlter Designs using Eigenfilter Approachen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers, EC

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