DocumentCode
1158830
Title
The LMS algorithm with delayed coefficient adaptation
Author
Long, Guozhu ; Ling, Fuyun ; Proakis, John G.
Author_Institution
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Volume
37
Issue
9
fYear
1989
fDate
9/1/1989 12:00:00 AM
Firstpage
1397
Lastpage
1405
Abstract
The behavior of the delayed least-mean-square (DLMS) algorithm is studied. It is found that the step size in the coefficient update plays a key role in the convergence and stability of the algorithm. An upper bound for the step size is derived that ensures the stability of the DLMS. The relationship between the step size and the convergence speed, and the effect of the delay on the convergence speed, are also studied. The analytical results are supported by computer simulations
Keywords
filtering and prediction theory; least squares approximations; LMS algorithm; computer simulations; convergence; delayed coefficient adaptation; filtering; least-mean-square; stability; step size; Computer errors; Convergence; Delay; Equations; Filtering algorithms; Least squares approximation; Mean square error methods; Signal processing algorithms; Stability; Upper bound;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/29.31293
Filename
31293
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