DocumentCode
395076
Title
A gradient adaptive step size algorithm for IIR filters
Author
Boukis, Christos G. ; Mandic, Danilo P. ; Papoulis, Eftychios V. ; Constantinides, Anthony G.
Author_Institution
Commun. & Signal Process. Group, Imperial Coll., UK
Volume
6
fYear
2003
fDate
6-10 April 2003
Abstract
The output error method, a fundamental technique for the updating of the coefficients of an adaptive IIR filter, is modified by introducing a time varying step size. The adaptation of this term is based on a gradient descent technique. This scheme can be considered as an extension of the algorithms presented in Benveniste et al. (1990) and Mathews et al. (1993) to IIR filters. The novel algorithm does not require any a priori knowledge of the statistical characteristics of the input signal and the unknown channel, since its step size converges automatically to its optimal value. This algorithm has the ability to converge in time-varying environments, which makes it suitable for processing of nonstationary signals.
Keywords
IIR filters; adaptive filters; convergence of numerical methods; gradient methods; time-varying filters; IIR filters; coefficient updating; convergence; gradient adaptive step size algorithm; gradient descent technique; nonstationary signals; output error method; time varying step size; Adaptive filters; Adaptive signal processing; Cost function; Equations; Finite impulse response filter; IIR filters; Iterative algorithms; Least squares approximation; Signal processing algorithms; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1201624
Filename
1201624
Link To Document