| 1. | Different from the approaches based on the principle of nonlinear decorrelation , e . g . , maximum likehood estimation ( mle ) , minimum mutual information ( mmi ) , maximization of nongaussianity is a classical one - unit approach to find the linear transformation for observed signals such that the output has a local maximum nongaussianty , and then discover one of the latent indenpendnt components
和基于非线性去相关( nonlineardecorrelation )原理的最大似然估计( maximumlikelihoodestimation , mle ) 、最小互信息( minimummutualinformation , mmi )等的多元ica估计不同,最大非高斯估计( maximumnongaussianityestimation )是典型的一元目标函数方法。 |
