The model of nonlinear blind source separation(NBSS) is built which the nonlinear transfer function is simulate by the P-th order polynomial function.
用高阶奇数多项式拟合非线性混合函数，建立非线性信号盲分离模型。
The separability and separating conditions for mixed signals are analyzed in this paper. The limitation of nonlinear blind source separation methods is proposed.
该文分析了非线性混叠信号的可分离性及分离条件，指出现阶段非线性混叠信号盲分离的局限性。
In many algorithms for blind source separation, most of them must select nonlinear function or compute high-order statistical values.
在许多盲信号源分离算法中，大多需要选择合适的非线性函数或者需要计算信号的高阶统计量。
For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.
设计了多目标进化算法来求解代价函数的全局最优解，提出了非线性盲源分离的多目标进化算法。
For separating source signals efficiently, a nonlinear blind separation algorithm based on specific-designed multiobjective evolutionary algorithm is proposed.
设计了多目标进化算法来求解代价函数的全局最优解，提出了非线性盲源分离的多目标进化算法。
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