Cart (Loading....) | Create Account
Close category search window
 

Improvement of the tracking capability of the numerically stable fast RLS algorithms for adaptive filtering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Benallal, A. ; CNET, Lannion, France ; Gilloire, A.

The authors propose a simple and efficient technique to improve the tracking capability of numerically stable fast, least-squares algorithms. The forgetting factor for the adaptation of the filtering part is implicitly modified, while the forgetting factor in the prediction part is kept to a value that ensures the numerical stability. A theoretical analysis of the modified algorithm is presented. Simulation results on a practical example (acoustic echo cancellation) show the efficiency of the proposed technique

Published in:

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Date of Conference:

23-26 May 1989

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.