DocumentCode :
1667395
Title :
Nonlinear IIR adaptive filtering using a bilinear structure
Author :
Gao, X.Y. ; Snelgrove, W.M. ; Johns, D.A.
Author_Institution :
Toronto Univ., Ont., Canada
fYear :
1989
Firstpage :
1740
Abstract :
A nonlinear IIR (infinite-impulse-response) adaptive filter that is based on a Volterra polynomial realized by a set of bilinear systems is presented. Each bilinear system corresponds to a cascade connection of linear systems and multipliers. This allows the extension of some linear adaptive concepts. Nonlinear IIR adaptive filters have an advantage over FIR (finite-impulse-response) Volterra filters in that in some applications they may result in less computation. The results of a simulation example show the applicability and practical convergence rate of the nonlinear IIR adaptive filter presented
Keywords :
convergence; digital filters; filtering and prediction theory; polynomials; Volterra polynomial; bilinear structure; cascade connection; convergence rate; infinite-impulse-response; linear systems; multipliers; nonlinear IIR adaptive filter; Adaptive filters; Finite impulse response filter; IIR filters; Kernel; Linear systems; Nonlinear equations; Nonlinear filters; Nonlinear systems; Polynomials; Transversal filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
Type :
conf
DOI :
10.1109/ISCAS.1989.100702
Filename :
100702
Link To Document :
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