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EMD algorithm based on bandwidth and the applicationon one economic data analysis

机译:基于带宽的EMD算法及其在一种经济数据分析中的应用

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This paper proposes a key point to improve the empirical mode decomposition algorithm. Recent works have demonstrated that EMD has remarkable effect in many applications, but EMD also has many problems. By analyzing the simulated and actual signals, it is confirmed that the IMFs get by the bandwidth criterion can approach the real components and reflect the intrinsic information of the analyzed signal. The paper not only updates the bandwidth criterion of the empirical mode decomposition algorithm, but also uses it on one data of the electric consumption data to extract some periodic rules. Based on the decomposition result, we obtain three conclusions which can instruct electricity production.
机译:本文提出了改进经验模态分解算法的关键。最近的工作表明,EMD在许多应用中均具有显着效果,但EMD也存在许多问题。通过对仿真信号和实际信号的分析,可以确定通过带宽准则得到的IMF可以逼近实数分量,并反映出分析信号的内在信息。本文不仅更新了经验模态分解算法的带宽准则,而且将其用于耗电量数据中的一个数据以提取一些周期性规则。基于分解结果,我们得出了三个可以指导发电的结论。

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