DocumentCode
699285
Title
An iterative reweighted least-squares algorithm for the design of 2D IIR filters
Author
Dumitrescu, Bogdan ; Niemisto, Riitta
Author_Institution
Inst. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
fYear
2004
fDate
6-10 Sept. 2004
Firstpage
133
Lastpage
136
Abstract
We present a new method for optimizing two-dimensional IIR filters with respect to a p-norm error criterion, especially for large p, when quasi-equiripple filters are obtained. We combine a Gauss-Newton convexification of the criterion with the iterative reweighted least-squares (IRLS) algorithm. Stability is obtained by using 1-D or 2-D convex stability domains based on a positive realness description. A final optimization of the numerator, keeping the denominator fixed, allows more freedom in choosing the value of a key parameter.
Keywords
IIR filters; Newton method; equiripple filters; iterative methods; least squares approximations; two-dimensional digital filters; 1D convex stability domains; 2D IIR filter design; 2D convex stability domains; Gauss-Newton convexification; IRLS algorithm; iterative reweighted least-squares algorithm; p-norm error criterion; quasiequiripple filters; two-dimensional IIR filter optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2004 12th European
Conference_Location
Vienna
Print_ISBN
978-320-0001-65-7
Type
conf
Filename
7079815
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