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

Mean-square performance of the filtered-reference/ filtered-error LMS algorithm

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)
Miyagi, Shigeyuki ; Univ. Center of Intercultural Educ., Univ. of Shiga Prefecture, Shiga, Japan ; Sakai, H.

This paper describes two properties of the filtered-reference/filtered-error least-mean-square (LMS) algorithm proposed by Sujbert. First, by using the averaging method, the stability condition of the algorithm is investigated, which is affected by the compensating filter being inserted into both the input signal path and the error signal path. Second, the formula to express the mean-square error of the algorithm is theoretically derived by the ordinary differential equation method. Based on the derived formula, the convergence speed of the algorithm is compared to other types of LMS algorithms.

Published in:

Circuits and Systems I: Regular Papers, IEEE Transactions on  (Volume:52 ,  Issue: 11 )

Date of Publication:

Nov. 2005

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.