Abstract
The Time-Frequency Domain Blind Deconvolution is discussed based on the quotient space theory. The domain transformation [X w ] → [X n ] G → [X′] and the corresponding granular computing method is introduced to describe the hierarchical structure of deconvolution process, which converts the convolutive mixture of original time-domain signals into instantaneous mixtures in the quotient space. The experimental results show that the algorithm proposed in this paper achieves a relatively high separation quality.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhang, C., Zhang, Y., Wu, Xp. (2011). Audio Signal Blind Deconvolution Based on the Quotient Space Hierarchical Theory. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_74
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DOI: https://doi.org/10.1007/978-3-642-24425-4_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24424-7
Online ISBN: 978-3-642-24425-4
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