Improved blind separations of nonstationary sources based on spatial time-frequency distributions.
Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on second-order statistics, when dealing with signals that are localizable in the time-frequency (t-f) domain. In this paper, we introduce a simple method for autoterm and crossterm selection, and propose the use of STFD matrices for both prewhitening and mixing matrix recovery. T-f grouping is also proposed for improved blind separation of nonstationary signals. This method provides robust performance to noise and allows reduction of the number of sources considered for separation.
| Main Author: | Zhang, Yimin. |
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| Other Authors: | Amin, Moeness G., Lindsey, Alan R. |
| Format: | |
| Language: | English |
| Published: |
2003
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| Online Access: |
http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173354 |