A new adaptive damped convergence factor algorithm with a bias term

Author

NAKANISHI, Isao ; Yoshio, Itoh ; Fukui, Yutaka

Author_Institution

Fac. of Educ., Tottori Univ., Japan

Volume

2

fYear

1996

fDate

12-15 May 1996

Firstpage

97

Abstract

In this paper, we first present the performance analysis of the NACF algorithm comparing it with that of the LMS algorithm. These results show that the NACF algorithm requires excessive time for convergence. To accelerate the convergence speed, we propose a new NACF algorithm with a bias term. The constant bias term is examined to determine its optimum value. Furthermore, we propose the adaptive bias term which varies according to the convergence state. Several simulation results are presented to demonstrate the effectiveness of the proposed algorithm

Keywords

adaptive signal processing; convergence of numerical methods; iterative methods; NACF algorithm; adaptive damped convergence factor algorithm; adaptive signal processing; convergence speed; Acceleration; Adaptive signal processing; Convergence; Damping; Estimation error; Filters; Least squares approximation; Performance analysis; Signal processing algorithms; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.540361

Filename

540361