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论文类型： 会议论文

发表时间： 2004-08-19

收录刊物： EI

卷号： 3173

页面范围： 678-683

摘要： Lower order alpha stable distribution processes can model the impulsive random signals and noises well in physical observation. Conventional blind source separation is based on second order statistics(SOS). In this paper, we propose neural network structures related to multilayer feedforward networks for performing blind source separation based on the fractional lower order statistics (FLOS). The simulation results and analysis show that the proposed networks and algorithms are robust. © Springer-Verlag Berlin Heidelberg 2004.