Information-theoretic approach to blind separation of sources in non-linear mixture

@article{Yang1998InformationtheoreticAT,
  title={Information-theoretic approach to blind separation of sources in non-linear mixture},
  author={Howard Hua Yang and Shun-ichi Amari and Andrzej Cichocki},
  journal={Signal Processing},
  year={1998},
  volume={64},
  pages={291-300}
}
The linear mixture model is assumed in most of the papers devoted to blind separation. A more realistic model for mixture should be non-linear. In this paper, a two-layer perceptron is used as a de-mixing system to separate sources in non-linear mixture. The learning algorithms for the de-mixing system are derived by two approaches: maximum entropy and minimum mutual information. The algorithms derived from the two approaches have a common structure. The new learning equations for the hidden… CONTINUE READING

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