Adaptive subspace algorithm for blind separation of independent sources in convolutive mixture

@article{Mansour2000AdaptiveSA,
  title={Adaptive subspace algorithm for blind separation of independent sources in convolutive mixture},
  author={Ali Mansour and Christian Jutten and Philippe Loubaton},
  journal={IEEE Trans. Signal Processing},
  year={2000},
  volume={48},
  pages={583-586}
}
We propose an algorithm for blind separation of sources in convolutive mixtures based on a subspace approach. The advantage of this algorithm is that it reduces a convolutive mixture to an instantaneous mixture by using only second-order statistics (but more sensors than sources). Furthermore, the sources can be separated by using any algorithm for an instantaneous mixture (based generally on fourth-order statistics). Otherwise, the classical assumptions for blind separation of sources (at most… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 23 references

Subspace based techniques for second order blind separation of convolutive mixtures with temporally correlated sources

A. Gorokhov, Ph. Loubaton
IEEE Trans. on Circuits and Systems, • 1997
View 2 Excerpts

A direct solution for blind separation of sources

IEEE Trans. Signal Processing • 1996
View 2 Excerpts

Subspace method for blind separation of sources in convolutive mixture

1996 8th European Signal Processing Conference (EUSIPCO 1996) • 1996
View 2 Excerpts

Fourth-order criteria for blind sources separation

IEEE Trans. Signal Processing • 1995
View 1 Excerpt

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