A mu -vector LMS adaptive system for enhancing nonstationary narrow-band signal

Author

Chen, Jiande ; Vandewalle, Joos

Author_Institution

Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium

fYear

1988

fDate

7-9 June 1988

Firstpage

771

Abstract

The performance of a least-mean square (LMS) adaptive filter with respect to the feedback factor mu in both stationary and nonstationary environments are outlined and investigated by simulations. A mu -vector LMS algorithm that is an extension of the conventional LMS algorithm is proposed. In the proposed algorithm, different values of feedback factor are used for different taps. Computer simulation results are given and it is proved that the authors´ algorithm performs better than the conventional LMS algorithm in a nonstationary environment. Using the proposed algorithm, a two-stage adaptive system is suggested, the first stage of which is an adaptive line enhancer. The application of the method to biomedical signal processing is discussed.<>

Keywords

adaptive filters; filtering and prediction theory; least squares approximations; signal processing; LMS adaptive system; adaptive filter; adaptive line enhancer; biomedical signal processing; feedback factor; least-mean square; mu -vector LMS algorithm; nonstationary narrow-band signal; tapped delay line; two-stage adaptive system; Adaptive filters; Adaptive systems; Application software; Biomedical signal processing; Computational modeling; Computer simulation; Feedback; Least squares approximation; Line enhancers; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1988., IEEE International Symposium on

Conference_Location

Espoo, Finland

Type

conf

DOI

10.1109/ISCAS.1988.15039

Filename

15039