DocumentCode
703583
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
fYear
1998
fDate
8-11 Sept. 1998
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO 1998), 9th European
Conference_Location
Rhodes
Print_ISBN
978-960-7620-06-4
Type
conf
Filename
7090054
Link To Document