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emd
- 是经验模态的函数，用于进行数字信号处理。可以用于分解频率-Is the empirical mode of function, used for digital signal processing. Can be used to decompose the frequency
emd
- 对一时间序列进行EMD分解，产生若干经验模态。是HHT变换的前提。-EMD of a time series decomposition, resulting in a number of empirical mode，which is a prerequisite for HHT transformation.
EMD_ECG
- 此程序用经验模态方法，将心电信号分解成多个IMF，并对信号做时频分析，观察信号中所含有的频率。-This procedure using empirical mode method, the ECG signal is divided into a number of IMF, and the signal time-frequency analysis, observation signal containing frequency.
The-empirical-mode-decomposition-
- 应用经验模式分解将恒电量瞬态响应信号分解为不同时间尺度的内在模函数分量，去除其中的小时间尺度的干扰噪声分量-Empirical mode decomposition coulostatic transient response signal is decomposed into different time scales intrinsic mode function component, remove the small time s
EOF
- 经验正交函数分解，带例子，分析要素场空间主模态和时间演变规律，分离主要特征-Empirical orthogonal function decomposition, with examples, analyzes the main elements of the modal field space and time evolution, the main features of separation
eemd
- 有关经验模态快速分解的重要程序，来源于国立中央大学的研究中心-About important procedures empirical mode decomposition quickly, from the Research Center, National Central University
emdfenjie
- 对采集到的振动信号进行EMD分解，得到一系列频率不同的经验模态函数IMF分量，可以用来滤波和提取原信号的特征。-The collected vibration signals of EMD, get a series of different frequency components of IMF empirical mode function can be used to filter and extract features of
EOF
- 希尔伯特黄变换之模态经验正交分解matlab实现-Modal empirical orthogonal decomposition of the Hilbert-Huang Transform matlab implementation
emd
- 经验模态分解法，用于分解各阶模态，附有ppt-the empirical mode decomposition method.
EOF
- 经验正交函数分解，带例子，分析要素场空间主模态和时间演变规律，分离主要特征-Empirical orthogonal function decomposition, with examples, analyzes the main elements of the modal field space and time evolution, the main features of separation
EMD
- 经验模式分解程序，给出固有模态函数分量以及画出边际谱能量谱-the code of EMD
9.19
- 二维经验模态的分解的图像分解过程自己已经运行了，可以的，没错误-Two-dimensional image decomposition process decomposition modal experience that they have to run, you can, no errors
Mechanical-fault-diagnosis-method
- 经验小波变换(EWT)是一种新的自适应信号分解方法, 该方法继承了EMD 和小波分析方法的各自优点, 通过提取频域极大值点自适应地分割傅里叶频谱以分离不同的模态, 然后在频域自适应地构造带通滤波器组从而构造正交小波函数, 以提取具有紧支撑傅立叶频谱的调幅-调频(AM-FM)成分。本文将该方法引用到机械故障诊断中, 提出了一种基于经验小波变换的机械故障诊断方法, 并与EMD方法进行了对比分析。仿真结果表明, 经验小波变换方法明显优于EMD
EEMD-Matlab-runcode
- 经验模式分解算法，能分解得到各个固有模态函数以及进行希尔伯特谱的绘制-This EEMD method can decompose series imfs and plot the HHT spectrum
EOF
- EOF经验正交分解，是一种主成分分析方法用python语言实现，EOF计算得到了几个模态和对应的时间系数(EOF---Orthogonal decomposition of experience, is a principal component analysis method using python language, EOF calculated several modalities and the corresponding t
EOF
- 可用于三维经验正交模态分解，直接使用，很方便啊(which can be used for Empirical Orthogonal Mode Decomposition(EMF) of three dimension)
CEEMDAN_V00
- 对信号进行EEMD分解，得到经验模态分量和一个趋势项(EEMD decomposition of the signal to obtain empirical mode components and a trend of the item)
wind power forecasting based on EWT-KELM
- 针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learnin
VMD代码
- VMD代码，该程序对信号进行经验模式分解，可以用于故障信号处理，还可以与很对方法结合。如，排列熵，emd,vmd,等，包含VMD、EMD、EEMD工具箱，可用于变分模态分解、EMD以及EEMD谐波检测对对比分析(VMD code, the program for empirical mode decomposition of signals, can be used for fault signal processing, can al