DocumentCode
1281766
Title
Fast adaptive filtering algorithm based on exponentially weighted least-square errors
Author
Lim, Jae Sung
Author_Institution
Div. of Inf. & Comput. Eng., Ajou Univ., Suwon, South Korea
Volume
35
Issue
22
fYear
1999
fDate
10/28/1999 12:00:00 AM
Firstpage
1913
Lastpage
1915
Abstract
The linearly filtered gradient least mean square algorithm is reformulated using exponentially weighted least-square errors, and a partially filtered gradient LMS algorithm is proposed as a variant. It is shown that the proposed algorithm is superior in terms of convergence and tracking capability compared to the LMS and FGLMS algorithms
Keywords
adaptive filters; convergence of numerical methods; least mean squares methods; tracking; adaptive filtering algorithm; convergence; exponentially weighted least-square errors; partially filtered gradient LMS; tracking capability;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19991324
Filename
811047
Link To Document