RLS-adapted polynomial for nonlinear acoustic echo cancelling

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Stenger A, Kellermann W
Publisher: European Signal Processing Conference, EUSIPCO
Publication year: 2000


Abstract


Low-cost audio components in hands-free telephone applications call for nonlinear adaptive echo cancellation. It has been demonstrated that a cascade of a polynomial and an FIR filter can cancel echoes due to nonlinearities of typical low-cost applications [1]. Overcoming the slow convergence of an NLMS-based adaptation [5], we derive an RLS-type adaptation for the polynomial preprocessor. Furthermore, we present a robust control of the RLS algorithm. Experiments with double-talk scenarios and real audio hardware show more than 8 dB overall echo reduction gain and fast and robust convergence of the polynomial. In addition, an implementation with reduced computational complexity and similar robustness is presented.



FAU Authors / FAU Editors

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


How to cite

APA:
Stenger, A., & Kellermann, W. (2000). RLS-adapted polynomial for nonlinear acoustic echo cancelling. In Proceedings of the 2000 10th European Signal Processing Conference, EUSIPCO 2000. Tampere, FI: European Signal Processing Conference, EUSIPCO.

MLA:
Stenger, Alexander, and Walter Kellermann. "RLS-adapted polynomial for nonlinear acoustic echo cancelling." Proceedings of the 2000 10th European Signal Processing Conference, EUSIPCO 2000, Tampere European Signal Processing Conference, EUSIPCO, 2000.

BibTeX: 

Last updated on 2019-03-06 at 07:11

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