Improved Kalman gain computation for multichannel frequency-domain adaptive filtering and application to acoustic echo cancellation
Buchner H, Kellermann W (2002)
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2002
Book Volume: 2
Pages Range: 1909-1912
Event location: Orlando, FL
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0036290097&origin=inward
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.
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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. In Proceedings of the 2002 IEEE International Conference on Acoustic, Speech and Signal Processing (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.
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