Aiming at this problem, we brings forward a kind of switching algorithm based on kurtosis, which is used to adaptively learn activation function of the ICA without assuming the pdf of sources.

• 但若假设的概率密度函数与真实概率密度函数差异较大,源信号将不能被正确分离。 针对此问题,本文提出了一种基于峰度的开关算法,它无需假设源信号概率密度函数,可直接对独立分量分析中的激活函数进行自适应学习。