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emd+信息熵

于 2018-01-31 发布文件大小:2812KB

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可以实现机械EMD经验模态分解，提取特征量并利用神经网络进行模式识别故障类型(The empirical mode decomposition of mechanical EMD can be realized, feature quantity is extracted and neural network is used to identify the type of fault.)

文件列表：

emd%2B信息熵\chuli.m, 4348 , 2017-07-25
emd%2B信息熵\disp_hhs.m, 1931 , 2016-06-02
emd%2B信息熵\emd.m, 1217 , 2017-07-02
emd%2B信息熵\EMD_test.m, 1238 , 2018-01-10
emd%2B信息熵\extrema.m, 4361 , 2016-04-28
emd%2B信息熵\findpeak.m, 146 , 2007-08-26
emd%2B信息熵\hhspectrum.m, 1131 , 2016-06-01
emd%2B信息熵\ifndq.m, 3502 , 2016-04-28
emd%2B信息熵\instfreq.m, 1822 , 2013-03-12
emd%2B信息熵\matlab.mat, 2817296 , 2017-07-10
emd%2B信息熵\nengliang.m, 197 , 2017-07-10
emd%2B信息熵\xinhao(chulihou).mat, 52811 , 2017-07-05
emd%2B信息熵, 0 , 2018-01-12

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