An adaptive filter for noise cancelling

Author

Abutaleb, Ahmed S.

Author_Institution

Dept. of Electr. Eng., Temple Univ., Philadelphia, PA, USA

Volume

35

Issue

10

fYear

1988

fDate

10/1/1988 12:00:00 AM

Firstpage

1201

Lastpage

1209

Abstract

The author introduces a nonlinear filter for adaptive noise cancelling. The derivation and convergence properties of the filter are presented. The performance, as measured by the signal-to-noise ratio between the signal and its estimate, is compared to that of the commonly used least-mean-square (LMS) algorithm. It is shown, through simulation, that the proposed canceller has, on the average, better performance than the LMS canceller. It is based on the Pontryagin minimum principle and the method of invariant imbedding, and its computational time is about 10% that of the LMS in the cases studied, which is a substantial improvement

Keywords

adaptive filters; convergence; digital filters; interference suppression; Pontryagin minimum principle; SNR; adaptive filter; convergence properties; digital filters; invariant imbedding; noise cancelling; nonlinear filter; signal-to-noise ratio; simulation; Adaptive filters; Degradation; Finite impulse response filter; IIR filters; Interference; Least squares approximation; Noise cancellation; Nonlinear filters; Signal processing; Yield estimation;

fLanguage

English

Journal_Title

Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

0098-4094

Type

jour

DOI

10.1109/31.7595

Filename

7595