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

A delayed error least mean squares adaptive filtering algorithm and its performance analysis

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

1 Author(s)
Thomas, J. ; SGS-Thomson Microelectron., Grenoble

High sampling rate realizations of the least mean squares (LMS) adaptive filtering algorithm require that the inherent recursive computational bottleneck in the impulse response updating be broken by introducing algorithmic delays into the error feedback path. The well known delayed LMS (DLMS) technique achieves this by convolving delayed error samples with delayed input samples. This paper proposes a possible realization that convolves delayed error samples with undelayed input samples, motivated by systolization and pipelining requirements that use only the delays introduced in the error feedback path. We provide a convergence analysis of this delayed error LMS (DELMS) algorithm along with experimental simulations that prove the stability of this adaptation technique under desired operating conditions and improved tracking performance in nonstationary environments, compared with the DLMS algorithm

Published in:

Digital Signal Processing Workshop Proceedings, 1996., IEEE

Date of Conference:

1-4 Sep 1996

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.