A method to improve the performance of the LMS adaptive filter in processing signals of non-zero mean with sharp changes

Author

Lin, Ji-Nan ; Unbehauen, R.

Author_Institution

Lehrstuhl fuer Algemeine und Theor. Elektrotechnik, Erlangen-Nurnberg Univ., Germany

fYear

1991

fDate

11-14 Jun 1991

Firstpage

556

Abstract

A method is proposed to improve the performance of the conventional least-mean-square (LMS) adaptive filter in processing signals of nonzero mean with abrupt changes. It is theoretically determined that, with the aid of a local-mean estimator (LME), the working condition and thus the performance of the adaptive filter can be improved. The implementation of the LME is discussed and a varying window average filter is introduced. The improved performance of the proposed method compared to the direct use of the conventional LMS has been demonstrated by computer simulations

Keywords

adaptive filters; digital simulation; signal processing; LMS adaptive filter; abrupt changes; computer simulations; local-mean estimator; nonzero mean; performance; processing signals; sharp changes; varying window average filter; Adaptive filters; Application software; Autocorrelation; Computer simulation; Filtering algorithms; Impedance; Least squares approximation; Performance analysis; Resonance light scattering; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991., IEEE International Sympoisum on

Print_ISBN

0-7803-0050-5

Type

conf

DOI

10.1109/ISCAS.1991.176396

Filename

176396