ICAR, un algorithme d'ICA à convergence rapide robuste au bruit

A new Blind Source Separation (BSS) algorithm, called ICAR and using only Fourth Order (FO) statistics of the data, is proposed. The latter method is compared by computer experiments with the well-known methods COM1, COM2, JADE and FastICA. Since ICAR has given very good convergence results and has performed the source separation in the presence of a Gaussian noise with unknown spatial correlation, it appears as being one of the most attracting BSS algorithms.

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