中文说明：
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。
English Description：
Multiple empirical mode decomposition (MEMD) algorithm is an extension of EMD algorithm from a single variable to any number of variables. It has the same mode mixing problem as empirical mode decomposition. Noise assisted multiple empirical mode decomposition (namemd) is the improvement of MEMD to solve the problem