DocumentCode :
2958724
Title :
New combinatorial methods for the improvement of the convergence speed and the tracking ability of the fast stable RLS adaptive algorithm
Author :
Djendi, Mohamed ; Guessoum, Abderrezak ; Benallal, Ahmed ; Bouchard, Martin
Author_Institution :
Laboratoire LATSl, BLIDA SaadDahleb Univ., Route De Soumaa, Algeria
fYear :
2004
fDate :
2004
Firstpage :
681
Lastpage :
684
Abstract :
In this paper, we present new versions of the fast RLS adaptive algorithm. These versions are based on a combination of the block filtering technique and a use of a scalar accelerator parameter in each block. These mixing techniques lead a faster convergence of the fast RLS algorithm and behave better with time-varying acoustic systems. The proposed versions have approximately the same complexity of calculation than the original version of the fast RLS algorithm. The difference between this work and the previous ones (Benallal A. et al., Jan 1989) is the use of a new combination techniques which provide new forms of the fast RLS prediction part. All the proposed versions and their simulations results are presented.
Keywords :
acoustic signal processing; adaptive filters; combinatorial mathematics; convergence of numerical methods; filtering theory; least squares approximations; recursive filters; time-varying filters; block filtering technique; fast stable RLS adaptive algorithm; recursive least square; scalar accelerator parameter; time-varying acoustic systems; Adaptive algorithm; Adaptive filters; Approximation algorithms; Convergence; Filtering algorithms; Finite impulse response filter; Resonance light scattering; Speech; Transversal filters; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Communications and Signal Processing, 2004. First International Symposium on
Print_ISBN :
0-7803-8379-6
Type :
conf
DOI :
10.1109/ISCCSP.2004.1296500
Filename :
1296500
Link To Document :
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