The pre-whitened NLMS: a promising algorithm for acoustic echo cancellation

Author

Besbes, Hichem ; Ben Jebara, Sofia

Author_Institution

Celite Syst., Austin, TX, USA

Volume

3

fYear

2002

fDate

2002

Firstpage

875

Abstract

The rate of convergence of adaptive filters depends on the correlation of the input signal. In this paper, we present a simple pre-whitened NLMS (normalized least mean square) algorithm, suitable for highly correlated inputs such as speech. It uses both input and error pre-whitening. The adaptive filter is excited at the two directions of the input and the pre-whitened input. The updating rate is reduced (every two iterations). When compared to classical algorithms, the proposed method provides a better convergence rate with low complexity. Furthermore, the robustness with respect to noise is improved.

Keywords

acoustic correlation; adaptive filters; adaptive signal processing; convergence of numerical methods; echo suppression; iterative methods; least mean squares methods; normal distribution; speech processing; acoustic echo cancellation; adaptive filter excitation; adaptive filters; algorithm complexity; convergence rate; error pre-whitening; highly correlated inputs; input pre-whitening; input signal correlation; iterations; noise robustness; pre-whitened NLMS algorithm; speech processing; updating rate; Adaptive filters; Convergence; Costs; Echo cancellers; Equations; Least mean square algorithms; Noise robustness; Projection algorithms; Speech; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2002. 9th International Conference on

Print_ISBN

0-7803-7596-3

Type

conf

DOI

10.1109/ICECS.2002.1046387

Filename

1046387