Abstract
In this paper, we present a new method using fourth-order statistics for convolutive blind source separation. After a whitening process of the observed data, the separation of convolutive mixtures are transformed to find a semi-unitary demixing matrix. Then the semi-unitary demixing matrix is determined by joint diagonalization for a set of fourth-order joint cumulant matrices. Simulation results of speech separation demonstrate the effectiveness of the new approach.
| Original language | English |
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| Title of host publication | ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing |
| DOIs | |
| Publication status | Published - 2009 |
| Externally published | Yes |
| Event | 7th International Conference on Information, Communications and Signal Processing, ICICS 2009 - Macau Fisherman's Wharf, Macao Duration: 8 Dec 2009 → 10 Dec 2009 |
Publication series
| Name | ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing |
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Conference
| Conference | 7th International Conference on Information, Communications and Signal Processing, ICICS 2009 |
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| Country/Territory | Macao |
| City | Macau Fisherman's Wharf |
| Period | 8/12/09 → 10/12/09 |
Keywords
- Blind source separation
- Fourth-order statistics
- Joint diagonalization
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Wang, F., & Zhang, J. (2009). Convolutive blind source separation by fourth-order statistics. In ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing Article 5397743 (ICICS 2009 - Conference Proceedings of the 7th International Conference on Information, Communications and Signal Processing). https://doi.org/10.1109/ICICS.2009.5397743