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Proceedings Paper

Adaptive blind reverberation cancellation
Author(s): Da-Ching Chen; Kung Yao
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Paper 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.

Paper Details

Date Published: 20 November 2001
PDF: 9 pages
Proc. SPIE 4474, Advanced Signal Processing Algorithms, Architectures, and Implementations XI, (20 November 2001); doi: 10.1117/12.448686
Show Author Affiliations
Da-Ching Chen, Univ. of California/Los Angeles (United States)
Kung Yao, Univ. of California/Los Angeles (United States)


Published in SPIE Proceedings Vol. 4474:
Advanced Signal Processing Algorithms, Architectures, and Implementations XI
Franklin T. Luk, Editor(s)

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