A fast adaptive Volterra filter

Author

Yokoyama, Makoto ; Watanabe, Atsushi ; Takahashi, Harufumi

Author_Institution

Dept. of Mech. & Production Eng., Niigata Univ., Japan

Volume

3

fYear

1996

fDate

5-10 Aug 1996

Firstpage

1624

Abstract

In this paper, we introduce a general parameterization method of the adaptive Volterra filter, and investigate the convergence of the adaptive parameters. The key of the present method is that the Volterra kernels, which are multi-dimensional functions, are expanded by an arbitrary one-dimensional orthonormal function set. Based on this investigation, we propose an efficient adaptive Volterra filter to reduce the number of the parameters and to make the convergence of the parameters more stable and faster. Finally, we illustrate the usefulness of our filter by numerical simulations

Keywords

Volterra series; adaptive filters; convergence of numerical methods; digital filters; filtering theory; nonlinear filters; Volterra kernels; adaptive Volterra filter; adaptive parameters convergence; arbitrary one-dimensional orthonormal function set; multi-dimensional functions; nonlinear digital filters; numerical simulations; parameterization method; Adaptive filters; Convergence; Digital filters; Filter bank; Kernel; Linearity; Nonlinear filters; Nonlinear systems; Numerical simulation; Production engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-2775-6

Type

conf

DOI

10.1109/IECON.1996.570650

Filename

570650