Reference-based blind source separation using a deflation approach
Signal Processing
Blind separation of any source distributions via high-order statistics
Signal Processing
IEEE Transactions on Signal Processing
Convolutive Blind Signal Separation Based on Asymmetrical Contrast Functions
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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The high order statistics (HOS) based contrasts are widely used in blind sources separation. We propose in this work a new contrast based on cross-trispectra. It presents two main advantages over others traditional contrasts. Firstly, it concerns the computational cost, and secondly the extension takes into consideration the extraction of the independent sources in the presence of more than one gaussian sources. Finally, we shoe experimentally that the sources can be separated in presence of more than one gaussian sources.