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