Bayesian versus Constrained Structure Approaches for Source Separation in Post-Nonlinear Mixtures

Reference:

Alexander Ilin, Sophie Achard, and Christian Jutten. Bayesian versus constrained structure approaches for source separation in post-nonlinear mixtures. In Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN 2004), pages 2181–2186, Budapest, Hungary, July 2004.

Suggested BibTeX entry:

@inproceedings{Ilin04pnlcompare,
    address = {Budapest, Hungary},
    author = {Alexander Ilin and Sophie Achard and Christian Jutten},
    booktitle = {Proceedings of the IEEE International Joint Conference on Neural Networks ({IJCNN} 2004)},
    month = {July},
    pages = {2181--2186},
    title = {Bayesian versus Constrained Structure Approaches for Source Separation in Post-Nonlinear Mixtures},
    year = {2004},
}

This work is not available online here.