Title :
A convergence analysis of Volterra adaptive filters
Author :
Chao, Jinhui ; Inomata, Atsushi
Author_Institution :
Dept. of Electr. & Electron. Eng., Chuo Univ., Tokyo, Japan
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;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.612826
