DocumentCode :
3523648
Title :
An accelerated fast Newton algorithm for the identification of time-varying systems with noisy outputs - application to acoustic echo cancellation
Author :
Djendi, Mohamed ; Guessoum, Abderrezak ; Benallal, Ahmed ; Berkani, Daoued
Author_Institution :
LATSI Laboratoire, Saad Dahleb Univ., Algeria
fYear :
2003
fDate :
14-17 Dec. 2003
Firstpage :
644
Lastpage :
647
Abstract :
In this work, we present a new version of the fast Newton transversal filter algorithm (FNTF). This version, which we call the accelerated one (AFNTF), is based on a simple modification of its filtering part. This modification increases the dual Kalman gain which can be provided by the prediction part of any fast RLS algorithm. The accelerated version of the FNTF algorithm improves the convergence speed as well as the tracking ability of time-varying acoustic systems. The performance properties of the proposed version and of the original one are compared and presented in this paper.
Keywords :
Kalman filters; Newton method; acoustic signal processing; adaptive filters; echo suppression; filtering theory; time-varying systems; Kalman filter; RLS algorithm; accelerated fast Newton algorithm; acoustic echo cancellation; time-varying acoustic systems; Acceleration; Acoustic applications; Acoustic noise; Echo cancellers; Filtering; Kalman filters; Noise cancellation; Resonance light scattering; Time varying systems; Transversal filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
Type :
conf
DOI :
10.1109/ISSPIT.2003.1341203
Filename :
1341203
Link To Document :
بازگشت