Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
针对在经验模态分解(EMD)筛选过程中间断信号引起的模态混叠问题,提出了一种新的解决方法。
Aiming at the mode mixing problem caused by intermittency signal in the sifting process of empirical mode decomposition (EMD), a new solution is presented.
讨论了由于间歇信号嵌入导致经验模式分解结果出现模态混叠的现象,指出极值点序列幅值突变是产生模态混叠的根本原因。
A multistage strength forecast of the Northern Huanghai Sea Cold Water Mass is taken as an example. The whole process of sifting factors and establishing discriminant is given.
将北黄海冷水团强度预报作为示例,给出了筛选因子及建立判别式的全过程。
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