Exploitation of source nonstationarity in underdetermined blind source separation with advanced clustering techniques
The problem of blind source separation (BSS) is investigated. Following the assumption that the time-frequency (TF) distributions of the input sources do not overlap, quadratic TF representation is used to exploit the sparsity of the statistically nonstationary sources. However, separation performan...
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| Main Authors: | , , , , |
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| Format: | Default Article |
| Published: |
2006
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/5530 |
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