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ISNN
2005
Springer

A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures

13 years 9 months ago
A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures
This paper presents a block-adaptive subspace algorithm via oblique projection for blind source separation (BSS) problem of convolutive mixtures. In the proposed algorithm, the problem is reformulated into the one of instantaneous mixtures through oblique projections within one block, and then the separation matrix and other model parameters are updated by any static separation approach in a block-adaptive scheme. Compared with other work, the proposed algorithm can obtain lower computational complexity, faster convergence and higher robustness. Simulation results of modulation signals and real speech sources validate the proposed algorithm.
Chunyi Peng, Xianda Zhang, Qutang Cai
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ISNN
Authors Chunyi Peng, Xianda Zhang, Qutang Cai
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