Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?
نویسندگان
چکیده
In most ICA algorithms, the separation performances are estimated through the evaluation of a contrast function Φ, used in the update rule of elements of the unmixing matrix. In particular situations, optimizing Φ does not lead to optimize the extraction of each source, one by one. However, in some applications, one can be interested in quantifying the extraction performances of a specific signal. In this paper, we emphasize that none of the usual Φ’s could be directly applied, without further precautions, to evaluate the performances of the local separation.
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