提出一种新的盲分离标准，基于这种标准构建横向反馈的线性前馈神经网路，并给出理论分析与实验结果-We presents a new necessary and sufficient condition for

the blind separation of sources having non-zero kurtosis,

from their linear mixtures. It is shown here that a new

blind separation criterion based on both odd (􀀀 
　　

)

and even (􀀀 


) functions, presents desirable solutions,

provided that all source signals have negative kurtosis

(sub-Gaussian) or have positive kurtosis (super-Gaussian).

Based on this new separation criterion, a linear feedforward

network with lateral feedback connections is constructed.

Both theoretical and computer simulation results

are presented.