Blind separation of convolutive mixtures of cyclostationary sources using an extended natural gradient method
An on-line adaptive blind source separation algorithm for the separation of convolutive mixtures of cyclostationary source signals is proposed. The algorithm is derived by applying natural gradient iterative learning to the novel cost function which is defined according to the wide sense cyclostatio...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2003
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/5913 |
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