A soft-partitioned frequency-domain adaptive filter for acoustic echo cancellation

Author

Enzner, Gerald ; Vary, Peter

Author_Institution

Inst. of Commun. Syst. & Data Process. (IND), Aachen Univ., Germany

Volume

5

fYear

2003

fDate

6-10 April 2003

Abstract

We present a soft-partitioned frequency-domain adaptive filter (SPFDAF) and compare it in the context of other LMS type acoustic echo cancelers. The SPFDAF uses a nonrectangular window to partition the model taps (impulse response) of an echo canceler. Our soft window can be approximated very efficiently in the DFT domain and still attenuates aliasing components of the DFT by 40 dB. This technique results in a very low computational complexity and maintains an excellent signal quality.

Keywords

acoustic signal processing; adaptive filters; approximation theory; discrete Fourier transforms; echo suppression; frequency-domain analysis; transient response; DFT; LMS type acoustic echo cancelers; SPFDAF; acoustic echo cancellation; computational complexity; impulse response; model taps; nonrectangular window; signal quality; soft window approximation; soft-partitioned frequency-domain adaptive filter; Adaptive filters; Computational complexity; Convergence; Data processing; Delay; Echo cancellers; Frequency; Least squares approximation; Loudspeakers; Partitioning algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1199989

Filename

1199989