Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?

Abstract. In most ICA algorithms, the separation performances are estimated through the evaluation of a contrast function , used in the update rule of elements of the unmixing matrix. In particular situations, optimizing 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 's could be directly applied, without further precautions, to evaluate the performances of the local separation.

• Type: Conference
• Year: 2004
• Where: ESANN
• Authors: Frédéric Vrins, Cédric Archambeau, Michel Verleysen
• Keywords: Contrast Function, ESANN 2004, ESANN 2007, Separation Performances, Unmixing Matrix