A Variable Step Size for Normalized Subband Adaptive Filters

Author

Jeong, Jae Jin ; Koo, Keunhwi ; Choi, Gyu Tae ; Kim, Sang Woo

Author_Institution

Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea

Volume

19

Issue

12

fYear

2012

Firstpage

906

Lastpage

909

Abstract

A normalized subband adaptive filter algorithm uses a fixed step size, which is chosen as a trade-off between the steady-state error and the convergence rate. In this letter, a variable step size for normalized subband adaptive filters is derived by minimizing the mean-square deviation between the optimal weight vector and the estimated weight vector at each instant of time. The variable step size is presented in terms of error variance. Therefore, the proposed algorithm is capable of tracking in non-stationary environments. The simulation results show good tracking ability and low misalignment of the proposed algorithm in system identification.

Keywords

acoustic signal processing; adaptive filters; echo; echo suppression; mean square error methods; acoustic echo suppression; convergence rate; error variance; fixed step size; mean square deviation; normalized subband adaptive filters; steady state error; system identification; variable step size; weight vector; Acoustics; Adaptive filters; Algorithm design and analysis; Echo cancellers; Signal processing algorithms; Simulation; Acoustic echo cancellation; adaptive filters; subband adaptive filter; tracking performance; variable step size;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2012.2226153

Filename

6338267