Blind source separation in the time-frequency domain based on multiple hypothesis testing.
This paper considers a time-frequency ( - )-based approach for blind separation of nonstationary signals. In particular, we propose a time-frequency “point selection” algorithm based on multiple hypothesis testing, which allows automatic selection of auto- or cross-source locations in the time-frequency plane. The selected - points are then used via a joint diagonalization and off-diagonalization algorithm to perform source separation. The proposed algorithm is developed assuming deterministic signals with additive white complex Gaussian noise. A performance comparison of the proposed and existing approaches is provided.
| Main Author: | Cirillo, Luke. |
|---|---|
| Other Authors: | Zoubir, Abdelhak., Amin, Moeness. |
| Format: | |
| Language: | English |
| Published: |
2008
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| Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173189 |