搜索资源列表
prepro_sig_sub
- 实现eemd程序，可以进行内禀模态函数的分解。-eemd
emd_from_hjs
- 经验模态分解及希尔伯特黄变换包括了EEMD的程序-Empirical mode decomposition and Hilbert Huang transform includes EEMD program
finalHHT
- 以黄锷的EEMD为基础，对信号进行HHT分解，使用时把文件名改为所要处理的数据名称即可-The EEMD Huang E, HHT decomposition of the signal, change the file name to use to be dealt with data name to
xiangguanxishufaEEMDzhenshifenliang
- 通过相关系统法滤除集成经验模态分解（EEMD）中的虚假分量-Filtered through the relevant system integration method empirical mode decomposition (EEMD) the false component
emdPinstfreq
- 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
eemd
- 基于改进算法的经验模态分解的分解程序源码函数-the hanshu based on EMD is EEMDthe hanshu based on EMD is EEMDthe hanshu based on EMD is EEMD
FEEMD
- 快速经验模态分解程序包，能够实现时间序列数据的模态分解(The fast empirical mode decomposition package can realize the modal decomposition of time series data)
EMD_EEMD_VMD
- 可用于信号的EMD、EEMD、VMD分解，里面都加了自己的注释，通俗易懂(It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand)
56163048eemd
- 总体经验模式分解 信号处理方面的应用 经验模态分解的进化版(ensemble empirical mode decomposition)
emd
- 经验模态分解 是一种针对非线性、非平稳振动信号的处理方法(Empirical mode decomposition is an approach to nonlinear and non-stationary vibration signals)
programe2
- 经验模态分解 小波变换 经验小波等信号处理方法，亲测可用(Empirical mode decomposition, wavelet transform, empirical wavelet and other signal processing methods, pro test can be used)
eemd
- 提取信号特征及归一化处理，比emd明确度更高，可与emd做对比(Extracting signal features and normalization processing)
ceemd
- m文件，有助于对emd，eemd,ceemd这三种数据分解方法的理解(m file ,helps to understand EMD, EEMD and CEEMD algorithm)
EEMD和VMD程序
- EEMD在EMD的基础上进行添加高斯白噪声，VMD相对于EEMD时频分解效果更好，有效的抑制了模态混叠和端点效应(EEMD adds Gaussian white noise on the basis of EMD, and VMD has better effect on time-frequency decomposition than EEMD, effectively suppressing modal aliasing and endpoint effects)
matlab程序
- 采用EEMD方法对钻井液泥浆信号进行分解 MATLAB程序(EEMD method is used to decompose the mud signal of drilling fluid into MATLAB program)
VMD修改版
- 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(Includes VMD, EMD, and EEMD toolboxes for variational modal decomposition, EMD, and EEMD harmonic detection for comparative analysi)
Matlab runcode
- EMD（经验模态分解，全称Empirical Mode Decomposition，一般指EMD算法）是Hilbert-Huang变换（HHT）的核心算法。 经验模态分解(EMD)算法是通过算法过程定义的，而并非由确定的理论公式定义的，所以对其进行准确的理论分析非常困难，我们目前只能借助大量的数字仿真试验不断对其性能进行深入的研究。 EMD算法的目的在于将性能不好的信号分解为一组性能较好的本征模函数（IMFIntrinsic Mode Function ），且IMF须满足以下两个性质： (1
eemdaddKurtosis criterion
- 利用eemd分解信号以及峭度准则筛选最佳分量，并对筛选的分量做包络谱，进而诊断出故障类型。(EEMD is used to decompose the signal and kurtosis criterion to screen the best components, and the envelope spectrum of the selected components is made, and then the fault types are diagnosed.)
台湾中央大学HHT程序
- 希尔伯特-黄变换的matlab程序，内含集合经验模态分解文件(Hilbert Huang transform matlab program, including set empirical mode decomposition file)
iceemdan.m
- 信号iceemdan模态分解，包含测试信号，简单易实现，需要自己安装emd工具箱((It can be used for signal EMD, EEMD, VMD decomposition. Because the algorithm adds its own annotations, it's easy to understand))