Title :
LMS and RLS adaptive L-filters
Author :
Pitas, I. ; Venetsanoupoulos, A.N.
Author_Institution :
Dept. of Electr. Eng., Thessaloniki Univ., Greece
Abstract :
An adaptive filter structure is proposed which is based on linear combinations of order statistics. An efficient method to update the filter coefficients is presented. It is based on the minimal mean-square-error criterion and is similar to the Widrow algorithm for linear adaptive filters. Another method for coefficient update that is similar to the RLS algorithm and has faster convergence properties is presented. The proposed filter can adapt well to a variety of noise probability distributions, including impulsive noise
Keywords :
adaptive filters; convergence of numerical methods; filtering and prediction theory; least squares approximations; LMS adaptive L-filters; RLS adaptive L-filters; Widrow algorithm; coefficient update; convergence properties; impulsive noise; least mean square algorithm; linear combinations of order statistics; minimal mean-square-error criterion; noise probability distributions; recursive least squares algorithm; Adaptive filters; Adaptive signal processing; Convergence; Finite impulse response filter; Least squares approximation; Nonlinear filters; Probability distribution; Resonance light scattering; Signal processing; Statistics; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115647
