Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480336
