Adaptive threshold nonlinear algorithm for adaptive filters with robustness against impulse noise

Author

Koike, Shin´ichi

Author_Institution

NEC Corp., Tokyo, Japan

Volume

3

fYear

1996

fDate

7-10 May 1996

Firstpage

1644

Abstract

A new adaptation algorithm for adaptive filters is proposed, introducing “adaptive threshold” in the nonlinear correlation function. The adaptive threshold varies according to the long-term average of the error signal plus the additive noise, which makes the adaptive filtering system highly robust against sharp increase in the noise yet maintains the fast convergence and low residual error properties. Results of simulation and theoretical calculation prove the effectiveness of the proposed algorithm and its superiority to the conventional LMS algorithm in an impulse noise environment

Keywords

Gaussian noise; adaptive filters; adaptive signal processing; convergence of numerical methods; correlation methods; error analysis; filtering theory; Gaussian noise; MSE; adaptation algorithm; adaptive filtering system; adaptive filters; adaptive threshold nonlinear algorithm; additive noise; error signal; fast convergence; impulse noise environment; impulse noise robustness; long-term average; low residual error properties; nonlinear correlation function; simulation; Adaptive filters; Additive noise; Convergence; Error correction; Least squares approximation; National electric code; Noise robustness; Nonlinear equations; Stochastic resonance; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.544120

Filename

544120