DocumentCode
1537253
Title
Comparative analysis between noncanonical LMS and LMS adaptive filtering
Author
Gan, W.S. ; Soraghan, John J. ; Stewart, R.W. ; Durrani, T.S.
Author_Institution
Dept. of Electr. & Eletron. Eng., Strathclyde Univ., Glasgow, UK
Volume
27
Issue
11
fYear
1991
fDate
5/23/1991 12:00:00 AM
Firstpage
947
Lastpage
950
Abstract
Analysis and simulations to compare the standard least mean square (LMS) algorithm to the noncanonical LMS (NCLMS) algorithm are presented. The NCLMS algorithm is implemented using a variant of the standard FIR, called the noncanonical FIR (NCFIR). Simulation results are given which show a reduced excess mean square error (EMSE) level and an improved performance in an impulsive noise environment for the NCLMS over the conventional LMS algorithm.
Keywords
adaptive filters; digital filters; filtering and prediction theory; least squares approximations; excess mean square error; impulsive noise environment; least mean square; noncanonical FIR; noncanonical LMS; standard FIR; standard LMS;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19910592
Filename
78141
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