A Variable Mode QR Decomposition Adaptive Filtering Algorithm for Acoustic Echo Cancellation

Article Preview

Abstract:

This paper studies a new QR decomposition adaptive filtering algorithm for acoustic echo cancellation (AEC). Based on the p-TA-QR-LS algorithm [1] and an efficient voice activity detection technique, the proposed algorithm can distinguish the significant and insignificant input data periods. The resultant variable mode p-TA-QR-LS algorithm can work between two modes (p=1and N) and is thus suitable for AEC application where reusing significant input data can enhance convergence and the computation cost can be saved when the input is relatively weak.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3839-3843

Citation:

Online since:

May 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Y. Zhou and S. C. Chan, A new family of approximate QR-LS algorithms for adaptive filtering, Proc. IEEE 2005 Workshop on Statistical Signal Processing, Bordeaux, France, pp.115-120.

DOI: 10.1109/ssp.2005.1628567

Google Scholar

[2] J. Benesty, T. Gansler, D. R. Morgan, M. M. Sondhi and S. L. Gay, Advances in Network and Acoustic Echo Cancellation, Springer Press, (2001).

DOI: 10.1007/978-3-662-04437-7_5

Google Scholar

[3] S. Haykin, Adaptive Filter Theory. 4th edition, Prentice Hall Press, (2001).

Google Scholar

[4] E. Hänsler, G. Schmidt, Acoustic Echo and Noise Control: A Practical Approach, Wiley, (2005).

Google Scholar

[5] G. P. Vary and R. Martin, Digital Speech Transmission, Enhancement, Coding and Error Concealment, Wiley, (2006).

DOI: 10.1002/0470031743

Google Scholar