MNF是一种多元线性统计变换方法，MNF变换的基本思想就是通过构造原始观测数据各分量的线性组合，将观测数据中包含的信号与噪声两部分尽可能分离，使得线性映射变量的信噪比最大化。MNF变换本质上含有两次叠置处理的主成分分析变换。-MNF is a statistical multiple linear transformation method, the basic idea is the MNF transform raw observations by constructing a linear combination of the components of the signal-to-noise observation data contains two parts separated as much as possible, so that the signal to noise ratio linear mapping variables maximization. Main component contains two MNF transformation process analysis essentially stacked transformation.