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
Link To Document :
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