To improve the disadvantages such as computation-demanding and imprecise estimate of score function, of the existing methods for PNL mixture, we proposed a novel post-nonlinear blind source separation algorithm based on mutual information minimization.

• 我们以在普通非线性独立分量分析中得到广泛应用的MISEP算法的基本理论作为基础，然后结合后非线性混合的实际，通过在MISEP算法中加入关于混合结构的先验知识构建出适合PNL的分离算法。