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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.756175
