By Topic

Robust identification using new Wilcoxon least mean square 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 $31
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

3 Author(s)
Majhi, B. ; Dept. of Electron. & Commun. Eng., Nat. Inst. of Technol., Rourkela ; Panda, G. ; Mulgrew, B.

A new robust Wilcoxon least mean square (WLMS) algorithm using the Wilcoxon norm as the cost function is developed. Simulation results on identification of all-zero plants using WLMS with outliers present in the training signal clearly demonstrate superior performance over the conventional LMS-algorithm-based approach.

Published in:

Electronics Letters  (Volume:45 ,  Issue: 6 )