DocumentCode
336143
Title
Adaptive iterative reweighted least squares design of Lp FIR filters
Author
Vargas, Ricardo A. ; Burrus, Charles S.
Author_Institution
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Volume
3
fYear
1999
fDate
15-19 Mar 1999
Firstpage
1129
Abstract
This paper presents an efficient adaptive algorithm for designing FIR digital filters that are efficient according to an Lp error criteria. The algorithm is an extension of Burrus´ (1992) iterative reweighted least squares (IRLS) method for approximating Lp filters. Such algorithm will converge for most significant cases in a few iterations. In some cases however, the transition bandwidth is such that the number of iterations increases significantly. The proposed algorithm controls such problem and drastically reduces the number of iterations required
Keywords
FIR filters; adaptive filters; convergence of numerical methods; digital filters; iterative methods; least squares approximations; network synthesis; IRLS method; Lp FIR filter design; Lp error criteria; adaptive algorithm; adaptive iterative reweighted least squares; convergence; iterations reduction; optimal design; transition bandwidth; Adaptive filters; Equations; Finite impulse response filter; Fourier transforms; Frequency response; Least squares approximation; Least squares methods; Linear systems; Nonlinear filters; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location
Phoenix, AZ
ISSN
1520-6149
Print_ISBN
0-7803-5041-3
Type
conf
DOI
10.1109/ICASSP.1999.756175
Filename
756175
Link To Document