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经验模态分解,依据数据自身的时间尺度特征来进行信号分解,给出本征函数。-Empirical mode decomposition, based on the data itself characteristic time scale for signal decomposition, given the intrinsic function.
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程序运用matlab语言,读取了电流数据,并对电流数据进行了经验模态分解,观察分解各层的特征-Program using matlab language, read the current data, and current data were empirical mode decomposition, the decomposition observed characteristics of the layers
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主要是关于经验模态分解的还有EEMD的代码-Mainly on empirical mode decomposition EEMD code there
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这是关于一篇基于小波阈值的经验模态分解的论文-This is about a wavelet and empirical mode decomposition papers
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实现对图像的经验模态分解,得到经验模态分解后的第一层IMF分量,反映了图像的主要信息,去除冗余信息,为识别提供了基础。-Empirical mode decomposition of image, obtain the empirical mode decomposition of the first layer of IMF component, reflected the main information of the image, to remove redundant informati
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hilbert-huang变换计算的相关Matlab程序列表,通过经验模式分解将信号分解为一系列满足单频率分量条件的本征模函数,可求得信号有物理意义的瞬时频率-Related programs list Matlab hilbert-huang transform calculated by empirical mode decomposition signal is decomposed into a series of single-frequency components to meet
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摘要:经验模态分解方法(EMD )在非平稳信号的分析和处理中起着重要的作用 ,为了能够方便的使用EMD方法对信号进行处理 ,现labVIEW 虚拟仪器开发平台良好的用户图形界面和TLAB 软件强大的数值分析功能相结合 ,利用 Lab V IEW调用 MATLAB实现EMD信号处理方法.仿真结果表明对信号进行EMD分解后,使得瞬时频率具有了物理意义,但只是对信号进行了初步处理 ,可根据实际需要进行相应后续处理 。-Abstract: The empirical mode decomposition
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对数据先进行经验模态分解得到不同特征尺度的信号分量,然后对所有的信号分量用AR模型进行预测得到预测后的分量,然后将预测后的分量进行重构得到最终的预测信号。-The data first empirical mode decomposition characteristics of the signal components of different scales, and then for all signal components obtained by AR model to predict
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经验模态分解(EMD),可以用来完成对非平稳信号的模态分解和滤波-Empirical mode decomposition
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台湾一个教授编写的,经验模式分解的的源代码,经测试使用的效果不错-A professor at Taiwan prepared empirical mode decomposition of the source code, the use of good test results
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对给定信号进行经验模态分解,得出固有模态函数,最终得出hh谱-For a given signal, the empirical mode decomposition, derived intrinsic mode function, concluded hh spectrum
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经验模态分解(EMD),对imf进行分析,再采用类小波阈值去噪。-Empirical Mode Decomposition (EMD), were analyzed for the imf, then using class wavelet thresholding.
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总体经验模式分解matlab源码程序,用于单信道信号分解-empirical mode decomposition matlab source program for single-channel signal decomposition
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经验模态分解程序,简称emd,用于信号的分析与处理-Empirical mode decomposition process, referred emd, for analyzing and processing the signal
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经验模态分解中推信号进行镜像延拓,并且考虑到多点值与极值的关系-Empirical mode decomposition signal mirror continuation, and given more value to the extreme
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HHT就是Hilbert-Huang Transform(希尔伯特黄变换),美国航天航空局黄鳄教授发明的,大概的过程是:先对信号进行经验模态分解(Empirical mode decomposition -EMD),得出本征模态函数(IMF intrinsic mode function),再对本征模态函数进行希尔伯特变换-HHT is the Hilbert-Huang Transform (Hilbert-Huang Transform), NASA Professor Huang E in
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正宗EMD_FINAL,重写后的EMD算法,进行经验模式分解-Authentic EMD_FINAL, EMD algorithm rewritten, empirical mode decomposition
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镜像延拓处理经验模态分解(Empirical Mode Decomposition,EMD)时的端点效应。-Mirror extension handle end effects of empirical mode decomposition (Empirical Mode Decomposition, EMD)
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eemd,集合经验模分解算法,用于分解信号。-Ensemble Empirical Mode Decomposition
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总体经验模态分解的程序,总体经验模态分解的程序-Overall empirical mode decomposition process, the overall empirical mode decomposition procedure
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