说明：  多元经验模式分解（MEMD）算法是EMD算法从单个变量到任意数量的变量的扩展，其与经验模态分解一样存在模式混合问题，基于噪声辅助的多元经验模式分解（NAMEMD）就在对MEMD的改进，解决其问题。
(The multiple empirical mode decomposition (MEMD) algorithm is an extension of the EMD algorithm from a single variable to any number of variables. Like the empirical mode decomposition, there is a mode mixing problem. The noise-assisted multiple empirical mode decomposition (NAMEMD) is just Improve and solve its problems.)