Fast projection algorithm and its step size control

Author

Tanaka, Masashi ; Kaneda, Yutaka ; Makino, Shoji ; Kojima, Junji

Author_Institution

NTT Human Interface Labs., Tokyo, Japan

Volume

2

fYear

1995

fDate

9-12 May 1995

Firstpage

945

Abstract

Of the many adaptive filtering algorithms, the normalized LMS (NLMS) algorithm is generally used in practice because of its simplicity. The computational complexity of the NLMS algorithm is low, however, convergence is very slow and tracking is poor for a colored input signal such as speech. The projection algorithm was proposed as a generalization of the NLMS algorithm. This paper provides a fast projection algorithm and a step size control to obtain the same steady-state excess mean squared error (MSE) for various projection orders. Computer simulations for colored noise and speech input signal confirm the effectiveness of the projection algorithm and the step size control

Keywords

adaptive filters; adaptive signal processing; convergence of numerical methods; filtering theory; least mean squares methods; speech processing; MSE; NLMS algorithm; adaptive filtering algorithms; adaptive filters; colored noise; computational complexity; computer simulations; fast projection algorithm; normalized LMS; projection algorithm; speech input signal; steady-state excess mean squared error; step size control; Adaptive filters; Computational complexity; Computer errors; Convergence; Filtering algorithms; Least squares approximation; Projection algorithms; Size control; Speech; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480331

Filename

480331