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Nonlinear blind source separation for sparse sources
2016 24th European Signal Processing Conference (EUSIPCO)
Blind Source Separation (BSS) is the problem of separating signals which are mixed through an unknown function from a number of observations, without any information about the mixing model. Although it has been mathematically proven that the separation can be done when the mixture is linear, there is not any proof for the separability of nonlinearly mixed signals. Our contribution in this paper is performing nonlinear BSS for sparse sources. It is shown in this case, sources are separable evendoi:10.1109/eusipco.2016.7760515 dblp:conf/eusipco/EhsandoustRJB16 fatcat:vgdfqwff6jastpg57kj2loz2fu