Output-error LMS bilinear filters with stability monitoring

Author

Lee, Junghsi ; Mathews, V. John

Author_Institution

Adv. Technol. Center, Ind. Technol. Res. Inst., Hsinchu, Taiwan

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

965

Abstract

This paper introduces output-error LMS bilinear filters with stability monitoring. Bilinear filters are recursive nonlinear systems that belong to the class of polynomial systems. Because of the feedback structure, such models are able to represent many nonlinear systems efficiently. However, the usefulness of adaptive bilinear filters is greatly restricted unless they are guaranteed to perform in a stable manner. A stability monitoring scheme is proposed to overcome the stability problem. The paper concludes with simulation results that demonstrate the usefulness of our technique

Keywords

bilinear systems; feedback; filtering theory; least mean squares methods; polynomials; recursive filters; stability; adaptive bilinear filters; feedback structure; nonlinear systems; output-error LMS bilinear filters; polynomial systems; recursive nonlinear systems; simulation; stability monitoring; Adaptive filters; Feedback; Finite impulse response filter; IIR filters; Least squares approximation; Monitoring; Nonlinear filters; Nonlinear systems; Polynomials; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480336

Filename

480336