RLS-adapted polynomial for nonlinear acoustic echo cancelling

Stenger A, Kellermann W (2000)


Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2000

Publisher: European Signal Processing Conference, EUSIPCO

Article Number: 7075567

Event location: Tampere FI

URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84937057377&origin=inward

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.

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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.

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