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EEMD

于 2020-07-09 发布
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代码说明:

说明:  集合经验模态分解(EEMD)算法是EMD算法的基础上解决其模态混叠的一种改进的方法(The ensemble empirical mode decomposition (EEMD) algorithm is an improved method for solving its modal aliasing based on the EMD algorithm)

文件列表:

EEMD, 0 , 2017-12-31
EEMD\EEMD程序, 0 , 2017-04-25
EEMD\EEMD程序\Untitled2.m, 895 , 2017-12-31
EEMD\EEMD程序\data.mat, 11590 , 2016-12-12
EEMD\EEMD程序\dist_value.m, 847 , 2016-12-12
EEMD\EEMD程序\eemd.m, 2004 , 2017-04-25
EEMD\EEMD程序\extrema.m, 2180 , 2016-12-12
EEMD\EEMD程序\ifndq.m, 1818 , 2016-12-12
EEMD\EEMD程序\instfreq.m, 3427 , 2016-12-12
EEMD\EEMD程序\significance.m, 2938 , 2016-12-12
EEMD\利用Matlab进行EEMD分析.docx, 404950 , 2016-12-12
EEMD\方法说明.txt, 148 , 2016-12-12
EEMD\相关文献, 0 , 2016-12-26
EEMD\相关文献\EEMD的开创性论文(2005月8月,无刊物号).pdf, 810504 , 2016-12-12
EEMD\相关文献\EEMD的开创性论文(2009年刊载于Advances in Adaptive Data Analysis).pdf, 2487135 , 2016-12-12
EEMD\程序调用方法.txt, 894 , 2016-12-12

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