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ASP_EMD_Matlab-master

于 2021-04-21 发布
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说明:  EEMD去噪是一种基于EMD算法的改进,他的核心思想是对原始信号进行分解,每一次分解都添加不同的高斯白噪声,对得到的分解序列多次叠加后,高斯白噪声会相互抵消,再将分解得到的本征模态函数叠加,求取集合平均值,该平均值即为最后有效的分解结果,平均处理的次数越多噪声给分解结果带来的影响就越小。(EEMD denoising is an improvement based on EMD algorithm. Its core idea is to decompose the original signal, and add different Gaussian white noise for each decomposition. After the decomposition sequence is superimposed for many times, the Gaussian white noise will cancel each other. Then, the eigenmode function obtained from the decomposition is superimposed, and the set average value is obtained. The average value is the final effective decomposition result, which is the average value The more times of processing, the less influence of noise on the decomposition results.)

文件列表:

ASP_EMD_Matlab-master, 0 , 2020-05-28
ASP_EMD_Matlab-master\EMD.m, 3031 , 2020-05-28
ASP_EMD_Matlab-master\README.md, 54 , 2020-05-28
ASP_EMD_Matlab-master\RunMe.m, 408 , 2020-05-28

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