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

Advances in subband adaptive filtering using a low-resource oversampled filterbank implementation

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)
Brennan, R.L. ; Dspfactory Ltd., Waterloo, Ont., Canada ; Sheikhzadeh, H.

Advanced adaptive filtering algorithms for low-resource real-time subband implementations are discussed. First, normalized LMS (NMLS) and an associated whitening by decimation (WBD) convergence improvement technique are discussed. Next, complexity reduction techniques termed sequential partial update normalized LMS (S-NLMS) algorithms are introduced. Treatment of these algorithms from a multirate filterbank viewpoint provides a novel and valuable insight into its performance. A hybrid algorithm is then presented combining the advantages of WBD and S-NLMS. Both S-NLMS and hybrid algorithms are implemented on a low-resource subband adaptive filter utilizing oversampled filterbanks. Performance evaluations show that considerable computation cost reduction is achieved without materially reducing the convergence properties or the steady-state performance of the subband adaptive system.

Published in:

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on  (Volume:2 )

Date of Conference:

9-12 Nov. 2003

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.