Application of a double-talk resilient DFT-domain adaptive filter for bin-wise stepsize controls to adaptive beamforming

Conference contribution


Publication Details

Author(s): Herbordt W, Buchner H, Nakamura S, Kellermann W
Publisher: IEEE
Publication year: 2005
Conference Proceedings Title: Proc. Int. Workshop on Nonlinear Signal and Image Processing (NSIP)
ISBN: 0-7803-9064-4
Language: English


Abstract

In adaptive filtering, undetected noise bursts often disturb the
adaptation and may lead to instabilities and divergence of the adaptive
filter. The sensitivity against noise bursts increases with the
convergence speed of the adaptive filter and limits the performance of
signal processing methods where fast convergence is required. Typical
applications which are sensitive against noise bursts are adaptive
beamforming for audio signal acquisition or acoustic echo cancellation,
where noise bursts are frequent due to undetected double-talk. In this
paper, we apply double-talk resistant adaptive filtering (Gaensler
(1998)) using a nonlinear optimization criterion to adaptive beamforming
in the discrete Fourier transform domain for bin-wise adaptation
controls. We show the efficiency of double-talk resilient adaptive
filtering for a generalized sidelobe canceller for speech and audio
signal acquisition. The improved robustness leads to faster convergence,
to higher noise reduction, and to a better output signal quality in
turn. © 2005 IEEE


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Herbordt, W., Buchner, H., Nakamura, S., & Kellermann, W. (2005). Application of a double-talk resilient DFT-domain adaptive filter for bin-wise stepsize controls to adaptive beamforming. In Proc. Int. Workshop on Nonlinear Signal and Image Processing (NSIP). Sapporo, JP: IEEE.

MLA:
Herbordt, Wolfgang, et al. "Application of a double-talk resilient DFT-domain adaptive filter for bin-wise stepsize controls to adaptive beamforming." Proceedings of the Int. Workshop on Nonlinear Signal and Image Processing (NSIP), Sapporo IEEE, 2005.

BibTeX: 

Last updated on 2019-05-06 at 20:10