package_emd

  经验模态分解（EMD）方法（平稳化过程）是一种全新的处理非平稳数据序列的方法，其基本思想是：假如一个原始数据序列X(t)的极大值或极小值数目比上跨零点（或下跨零点）的数目多两个（或两个以上），则该数据序列就要进行平稳化处理(Empirical Mode Decomposition (EMD) method (a smooth process) is a new deal with non-stationary data sequence method, the basic idea is: If a raw data sequence X (t) the maximum or minimum number of than the cross-zero (or under the cross-zero) number more than two (or more), then the data is necessary to carry out a smooth sequence of treatment)