A Fast Algorithm for Blind Separation of Sources Based on the Cross-cumulant and Levenberg-marquardt Method
نویسندگان
چکیده
In this paper, a new algorithm for the instantaneous mixture of the blind separation of sources problem is derived. This algorithm deals with Multi-Input Multi-Output (MIMO) channels. The cost function proposed in this paper can be considered as an extension of that previously proposed by us (Mansour-Jutten 6]) for only two sources and two sensors. The cost function is based on the cross-cumulant 2 2 and it is minimized using the Levenberg-Marquardt method. Generally, algorithm convergence was attained unless than 50 iterations and the experimental results were satisfactory even with ve stationary sources and two non-stationary sources.
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