Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/5580
Title: Design and Analysis of FIR, IFIR and IIR Digital FIlter Designs using Eigenfilter Approach
Authors: Vachhani, Khyati
Keywords: Least Square
Rayleigh Principle
Eigenfilter
Positive Definite
Hermitian Matrix
Real Coefficients
Error Measure
EC Faculty Paper
Faculty Paper
ITFEC044
Issue Date: 21-Apr-2012
Citation: National Conference on Digital Convergence, Department of ECE, R.M.K. Engineering College, Kavaraipettai, Tamilnadu 601 206, April 21, 2012
Series/Report no.: ITFEC044-3;
Abstract: The 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.
URI: http://hdl.handle.net/123456789/5580
Appears in Collections:Faculty Papers, EC

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