Improved Kalman gain computation for multichannel frequency-domain adaptive filtering and application to acoustic echo cancellation

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Buchner H, Kellermann W
Publication year: 2002
Volume: 2
Pages range: 1909-1912


Abstract


For multichannel adaptive filtering applications like acoustic echo cancellation, sophisticated, but efficient algorithms are necessary that take both auto- and cross-correlations of the excitation signals into account. Based on a recently published frequency-domain framework, we examine in this contribution the computation of the so-called frequency-domain Kalman gain, which is crucial in the multichannel case to meet the above requirements for correlated input signals. We present an extended scheme with increased computational efficiency for a higher number of input channels. Robust convergence behaviour during perturbation of the desired signal is ensured by a new dynamical regularization. Application of the new algorithm to multichannel acoustic echo cancellation with real-world signals achieves improved performance.



FAU Authors / FAU Editors

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


How to cite

APA:
Buchner, H., & Kellermann, W. (2002). Improved Kalman gain computation for multichannel frequency-domain adaptive filtering and application to acoustic echo cancellation. (pp. 1909-1912). Orlando, FL, US.

MLA:
Buchner, Herbert, and Walter Kellermann. "Improved Kalman gain computation for multichannel frequency-domain adaptive filtering and application to acoustic echo cancellation." Proceedings of the 2002 IEEE International Conference on Acoustic, Speech and Signal Processing, Orlando, FL 2002. 1909-1912.

BibTeX: 

Last updated on 2018-10-08 at 09:10