DEMONSTRATION of BLIND SOURCE SEPARATION

The first method is based on the Gaussian Mutual Information, which exploits the non stationarity and the correlation of the sources and is implementated via a timefrequency analysis and a joint diagonalisation algorithm. The second method is based on the minimisation of the Marginal Mutual Information criterion and exploits the non Gaussianity of the sources. The criterion is expressed in terms of the entropies which are estimated through a kernel method. The third method is also based on the minimisation of the Marginal Mutual Information criterion, but exploits the non stationarity of the sources as well. The ponstnonlinear algorithm is based on the minimisation of the Marginal Mutual Information criterion.
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