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package_emd

于 2008-05-05 发布 文件大小:103KB
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  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)

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