DocumentCode
2989429
Title
A convergence analysis of Volterra adaptive filters
Author
Chao, Jinhui ; Inomata, Atsushi
Author_Institution
Dept. of Electr. & Electron. Eng., Chuo Univ., Tokyo, Japan
Volume
4
fYear
1997
fDate
9-12 Jun 1997
Firstpage
2477
Abstract
Volterra adaptive filters are known as nonlinear adaptive filters of parameter-linear, so that their global convergence is guaranteed. However, explicit and rigor analysis for these kind of adaptive filters is still not observed. In this paper, we present a rigor analysis on mean convergence of quadratic Volterra adaptive filters for Gaussian input signal
Keywords
Volterra series; adaptive filters; convergence of numerical methods; covariance matrices; digital filters; filtering theory; nonlinear filters; Gaussian input signal; Volterra adaptive filters; convergence analysis; global convergence; mean convergence; nonlinear adaptive filters; quadratic Volterra adaptive filter; Adaptive algorithm; Adaptive filters; Chaos; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Finite impulse response filter; Least squares approximation; Neural networks; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN
0-7803-3583-X
Type
conf
DOI
10.1109/ISCAS.1997.612826
Filename
612826
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