DocumentCode :
833066
Title :
Modifier formula on mean square convergence of LMS algorithm
Author :
Gu, Yuantao ; Tang, Kun ; Cui, Huijuan ; Du, Wen
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
38
Issue :
19
fYear :
2002
fDate :
9/12/2002 12:00:00 AM
Firstpage :
1147
Lastpage :
1148
Abstract :
In describing the mean square convergence of the LMS algorithm, the update formula based on independence assumption will bring explicit errors, especially when step-size is large. A modifier formula that describes the convergence well, is proposed. Simulations support the proposed formula in different conditions
Keywords :
adaptive filters; convergence of numerical methods; filtering theory; least mean squares methods; mean square error methods; signal processing; LMS algorithm; LMS filter; adaptive filtering; independence assumption; mean square convergence; modifier formula; update formula;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:20020737
Filename :
1038644
Link To Document :
بازگشت