Title :
Convergence analysis and fast algorithms of Volterra adaptive filters
Author :
Jinhui Chao ; Inomata, Atsushi ; Uno, Shinpei
Author_Institution :
Dept. of Electr. & Electron. Eng., Cimo Univ., Tokyo, Japan
Abstract :
In this paper, tight upper and lower bounds arc obtained for all of the eigenvalues of co variance matrices in quadratic Volterra adaptive filters with Gaussian input signal. It is shown that the error surface of quadratic Volterra ADF is always extremely steep in one particular direction but relatively flat in the rest directions. Based on these analysis, fast converging adaptive algorithms for both white and colored input signals arc presented.
Keywords :
adaptive filters; covariance matrices; nonlinear filters; Gaussian input signal; colored input signals; convergence analysis; covariance matrices; fast converging adaptive algorithms; quadratic Volterra adaptive filters; white input signals; Least squares approximations;
Conference_Titel :
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location :
Rhodes
Print_ISBN :
978-960-7620-06-4