Abstract
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.
This work was supported by the National Natural Science Foundation of China under Grant 60375004.
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© 2005 Springer-Verlag Berlin Heidelberg
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Peng, C., Zhang, X., Cai, Q. (2005). A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_86
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DOI: https://doi.org/10.1007/11427445_86
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