Under the frame of natural gradient algorithm, an ICA algorithm based on adaptive kernel estimation is proposed, which can separate arbitrary mixed signals (such as super-Gaussian and sub-Gaussian, symmetric and asymmetric signals).

• 摘要在自然梯度算法的框架下，本文利用随机变量概率密度函数非参数估计的自适应核函数法，给出了一种能够对任意混合信号（超高斯和亚高斯信号，对称和非对称分布信号）进行盲分离的算法。