Adaptive blind reverberation cancellation

Da-Ching Chen; Kung Yao

doi:10.1117/12.448686

20 November 2001 Adaptive blind reverberation cancellation

Da-Ching Chen, Kung Yao

Proceedings Volume 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI; (2001) https://doi.org/10.1117/12.448686
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

This paper presents a new approach for blind reverberation cancellation by adaptively estimating the channels. The key idea of this approach is to exploit the connection between the noise projection matrix and the cost matrix in the well-known subspace approach. A special weighted spectral decomposition is suggested to approximate the noise projection matrix directly from the inverse of the data autocorrelation matrix. We develop an off-line batch algorithm without eigendecomposition first. Combined with RLS-type matrix updating, an on-line adaptive algorithm is derived next to track time-varying channels. Simulations show our methods are robust for speech distorted by FIR reverberation.

Citation Download Citation

Da-Ching Chen and Kung Yao "Adaptive blind reverberation cancellation", Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); https://doi.org/10.1117/12.448686

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