搜索资源列表
eemd
- EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。--EEMD is insufficient for the EMD method, we propose a noise-assisted data analysis methods. EEMD decomposition principle is: when the additional white noise unifo
emd加instfreq信号处理工具
- 经验模态分解，克服了小波分析的频率重叠效果不明显的问题。可以在欠定情况下进行信号分解。(Empirical mode decomposition, to overcome the wavelet analysis of the frequency overlap effect is not obvious problem. Signal decomposition can occur under undetermined conditions.)
G Rilling
- 这是一个使用EMD分解出IMF的例子，一个试验信号由一个tone信号，一个chirp信号，叠加得到，目的是使用EMD将这两个信号分离，得到的预期结果应该是chirp信号在高阶，tone信号在低阶，（原因是chirp信号在各个局部的频率都比tone信号高）。(This is an example of using EMD to decompose the IMF. A test signal consists of a tone signal and a chirp signal. The pur
EMD-DFA
- Empirical mode decomposition matlab code
pack_emd
- Package EMD for empirical mode decomposition
EMD2_4gelizi
- EMD经验模态程序 EMD2_经验模态分解方法的MATLAB程序解读及使用例子(the Procedures of EMD MATLAB program interpretation and application examples of EMD2_ empirical mode decomposition)
emd
- matlab语言，EMD经验模式分解降噪程序代码(MATLAB language, EMD experience mode decomposition denoising code)
VMD
- vmd，MATLAB程序，针对EMD分解引起的模态混叠问题，能够得到较纯净的IMF分量(VMD, MATLAB program, for the modal aliasing problems caused by EMD decomposition, can get relatively pure IMF components)
EMDs
- 这是关于emd经验模态分解的matlab代码，主要应用于信号的分解，数据的处理等。(This is the matlab code for EMD empirical mode decomposition, which is mainly applied to signal decomposition, data processing and so on.)
emd+改进阈值函数
- 利用emd分解轴承振动信号，并通过改进阈值函数来筛选IMF分量，最后对分量做包络分析，诊断出故障类型。(Using emd to decompose the bearing vibration signal, the IMF component was selected by improving the threshold function, and finally the component was enveloped and analyzed to diagnose the fault ty
EMDs
- EMD经验模态分解算法，用于处理信号数据，可以用来故障诊断(EMD empirical mode decomposition algorithm, used for processing signal data, can be used for fault diagnosis.)
emdenergy - 副本
- 计算emd分量的能量熵；imf与原信号的相关系数(The energy entropy of calculating the EMD component)
memd
- emd改进算法，克服了emd算法的模态混叠，屏蔽经验模态分解算法。(The Improved EMD algorithm overcomes the modal aliasing of EMD algorithm and shields the empirical mode decomposition algorithm.)
package_emd
- 文件中包含了完整的HHT变换的文件，并给出了如何利用EMD分解进行不同频率成分的信号分离，提取不同频率成分信号的信息的例子。(The file contains a complete HHT transform file, and gives an example of how to use EMD decomposition to separate signals with different frequency components and extract the information o
emd，eemd， ceemd，ceemdan 程序包
- 该程序是依据matlab所编写的，基于对经验模态分解，及其改进算法的比较(The program is based on MATLAB. Based on empirical mode decomposition and comparison of its improved algorithms)
EMD编程示例（内有FFT，功率谱，HHT，包络谱）
- 一些关于经验模态分解的编程实例有FFT，HHT，功率谱，包络谱(Some programming examples about empirical mode decomposition include fft,hht, power spectrum, envelope spectrum.)
新建文件夹
- 用于EMD 信号分解及重构，重构部分需要自己需要改动(For EMD signal decomposition and reconstruction, the reconstruction part needs to be changed by itself.)
emd-lstm
- 基于经验模态分解成多个模态和一个残余量，再利用长短神经网络预测分别训练每一个模态和残余量，最后重构结果，得到预测结果(Prediction based on empirical mode decomposition and long short neural network)
经验模态分解及其改进
- matlab的EMD,EEMD,CEEMD和VMD四种模态分解方式(There are four mode decompositions including EMD, EEMD, CEEMD, and VMD.)
EMD
- EMD源码，用于信号分析与处理，获取不同的信号分量。