摘要

The sources extraction from their underdetermined instantaneous mixtures via time- domain is presented in this article. Firstly, an algorithm based on differential kurtosis to separate non-stationary sources with underdetermined case one by one is introduced. Then the rest sources are recovered by using an algorithm based on second-order statistics. The simulation results show that the proposed method can separate sources of super- and sub-Gaussian distribution, and its superior performances to other conventional methods.

全文