Variable LMS algorithms using the time constant concept

Author

Won, Y.K. ; Park, R.-H. ; Park, J.H. ; Lee, B.-U.

Author_Institution

Dept. of Electr. Eng., Sogang Univ., Seoul, South Korea

Volume

40

Issue

3

fYear

1994

fDate

8/1/1994 12:00:00 AM

Firstpage

655

Lastpage

661

Abstract

Two variable least mean square (LMS) algorithms using the simple time constant concept, variable step size LMS (VS-LMS) and variable length LMS (VL-LMS) algorithms, are proposed. In proposed variable LMS algorithms, the time constant, by which the step size is changed in the VS-LMS algorithm and the filter length is varied in the VL-LMS algorithm, is used as a measure of the error signal convergence. Computer simulation results show that proposed algorithms are simpler but show better performance than conventional variable LMS algorithms

Keywords

adaptive filters; convergence of numerical methods; digital filters; filtering and prediction theory; least squares approximations; signal processing; adaptive filtering; computer simulation; error signal convergence; filter length; least mean square algorithms; length LMS; time constant; variable LMS algorithms; variable step size LMS; Adaptive filters; Algorithm design and analysis; Chaos; Convergence; Filtering algorithms; HDTV; Least squares approximation; Performance analysis; Stability; Steady-state;

fLanguage

English

Journal_Title

Consumer Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0098-3063

Type

jour

DOI

10.1109/30.320854

Filename

320854