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EMD经验模态分解,用于信号处理，也常和hilbert变换一起用于信号特征提取、信号消噪等领域-EMD empirical mode decomposition for signal processing, and is often used in conjunction with hilbert transform signal feature extraction, signal de-noising and other fields
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EMD（经验模态分解）程序，用于将非平稳信号分解为一系列不同频率的分量，以方便对信号进行分析。-EMD (empirical mode decomposition) program for the non-stationary signal is decomposed into a series of different frequency components, in order to facilitate the analysis of the signal.
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LMD（局域均值分解）程序。与经验模态分解的思想相近，是一种较新的处理非平稳信号的方法，但LMD方法的端点效应更小些。-LMD (local mean decomposition) program. And empirical mode decomposition similar idea, is a relatively new method for non-stationary signals, but the end effect is much smaller LMD method.
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matlab 中EMD 经验模式分解工具箱 附带安装说明-the empirical mode decomposition EMD matlab toolbox comes with installation instructions
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经验模态分解（Empirical Mode Decomposition,EMD）法是美国国家宇航局美籍华人黄锷（N. E. Huang）等人于1998年创造性地提出的一种新型自适应信号时频处理方法，特别适用于非线性非平稳信号的分析处理。-Empirical Mode Decomposition (Empirical Mode Decomposition, EMD) method is a new kind of video processing method adaptive signal NA
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经典经验模态分解文章汇总，较好的综述了HHT-EMD方法的理论及使用方法。-Classic article summarizes empirical mode decomposition, a good overview of the theory and method of use HHT-EMD method.
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这是huang的eemd程序，将白噪声加入到了经验模态分解当中，一定程度上抑制了模态混合。-This is huang s emd program, the white noise is added to the empirical mode decomposition which suppress modal mix to some extent.
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Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来
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这是经验模态分解方法，EMD，此程序能够正常运行。-This is the empirical mode decomposition, EMD, this program to work correctly.
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emd经验模态分解，适用于对含噪信号处理，优于小波去噪的信号去噪方法。-Empirical mode decomposition
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对信号进行emd经验模态分解（在运动加速度下阶跃干扰等进行滤波处理）-The signal emd empirical mode decomposition (in the motion acceleration step interference filtering process)
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emd算法matlab程序 经验模态分解（Empirical Mode Decomposition, EMD）是将信号分解成本质模态函数（intrinsic mode functions, IMF）的组合。该方法被认为是继傅里叶变换之后又一划时代意义的处理方法。-emd matlab Mode Decomposition Empirical (EMD) is a combination of mode functions intrinsic (IMF).. This method is con
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高频谐波加入法 EMD 频率选取原则及应用-Frequency Selection Principle and its application of Empirical Mode Decomposition based on High Frequency Harmonics Injection Method
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此程序为经验模态分解的程序，包含了对信号的去噪-This program for empirical mode decomposition, contains the signal denoising
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集合经验模态分解程序，此程序无需限定每次经验模态分解是固有模态函数的个数。-ENID collection program, this program does not need a time limited empirical mode decomposition is the number of intrinsic mode function.
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互补集合经验模态分解程序，加入正负成对的的白噪声信号-Complementary set of empirical mode decomposition process, added a pair of positive and negative white noise signal
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带有Python界面的EMD\EEMD\CEEMDAN的程序，做信号处理。-libeemd is a C library for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the regular empirical mode decomposition (EMD). It includes a Python interface called pyee
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EEMD\CEEMDAN\EMD的R程序-An R interface for C library libeemd for performing the ensemble
empirical mode decomposition (EEMD), its complete variant (CEEMDAN) or the
regular empirical mode decomposition (EMD).
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memd 多变量经验模态分解去噪 滤波，matlab源代码，用于电磁辐射、生物医学信号滤波处理-multivariate empirical mode decomposition,denoising and filter,matlab code,it s application areas are electromagnetic emadation,biochamical signal processing
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EMD能够自适应的处理非平稳信号，并将其分解为多个具有物理意义的平稳的固有模态函数（IMF）-Empirical Mode Decomposition (EMD), is proposed in this paper. First, the EMD is used to make the time series stationary. Then based on phase-space reconstruction theory, identify the chaotic characteris
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