DocumentCode
771756
Title
Delayed least-mean-square algorithm
Author
Wang, T. ; Wang, C.-L.
Author_Institution
Inst. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume
31
Issue
7
fYear
1995
fDate
3/30/1995 12:00:00 AM
Firstpage
524
Lastpage
526
Abstract
The conventional delayed least-mean-square (LMS) algorithm converges more slowly than the LMS algorithm due to the delay introduced in coefficient adaptation. The authors derive a new delayed LMS algorithm, which is a realisation of the orthogonality principle, by minimising the a posteriori squared error. Computer simulations show that it does not suffer from the introduced delay and has comparable convergence performance to the LMS algorithm
Keywords
FIR filters; adaptive filters; adaptive signal processing; convergence; delays; filtering theory; least mean squares methods; adaptive FIR filtering; convergence performance; delayed LMS algorithm; least-mean-square algorithm; orthogonality principle;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19950396
Filename
381822
Link To Document