DocumentCode
974660
Title
Reply to “Comments on ‘A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis’”
Author
Chan, S.C. ; Zou, Y.X. ; Zhou, Yangzhong
Volume
57
Issue
1
fYear
2009
Firstpage
389
Lastpage
389
Abstract
We appreciate the comments by Bershad [ldquoComments on `A Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis,´rdquo IEEE Transactions on Signal Processing, vol. 57, no. 1, January 2009] on an assumption of our paper [ldquoA Recursive Least M-Estimate Algorithm for Robust Adaptive Filtering in Impulsive Noise: Fast Algorithm and Convergence Performance Analysis,rdquo IEEE Transactions on Signal Processing, vol. 52, no. 4, April 2004]. In this reply, we elaborate further on this assumption, which was originally introduced as an approximation to simplify the performance analysis. Modifications and references to a related extension of Price´s theorem for independent mixtures are outlined. We wish this will clarify the issues raised.
Keywords
adaptive filters; impulse noise; least mean squares methods; recursive estimation; Price theorem; convergence performance analysis; impulsive noise; recursive least M-estimate algorithm; robust adaptive filtering;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2008.2007921
Filename
4663919
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