Abstract
The essential problem of multi-channel echo cancellation is caused by the strong correlation of two-channel input signals and the methods of pre-processing are always used to decorrelate it and the decorrelation degree depends on nonlinear coefficient α. But in most research, α is constant. In real application, the cross correlation is varying and α should be adjusted with correlation. But there is not precise mathematical formula between them. In this paper, the proposed method applies fuzzy logic to choose α so that the communication quality and convergence performance can be assured on the premise of small addition of computation. Simulations also show the effect of validity method.
The work is supported by the Guang Dong Province Science Foundation for Program of Research Team (grant04205783), the National Natural Science Foundation of China (Grant 60274006), the Natural Science Key Fund of Guang Dong Province, China (Grant 020826), the National Natural Science Foundation of China for Excellent Youth (Grant 60325310) and the Trans-Century Training Program, the Foundation for the Talents by the State Education Commission of China.
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References
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Li, X., Jie, W., Xie, S. (2005). A New Pre-processing Method for Multi-channel Echo Cancellation Based on Fuzzy Control. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_103
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DOI: https://doi.org/10.1007/11539506_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
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