搜索资源列表
jingxiangyantuo
- emd分解中采用镜像延拓算法消除边界效应，效果很好-emd decomposition algorithm used in the mirror to eliminate the boundary extension effect, good results
eemd
- 这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！-the matlab code for EEMD！
emd
- 这是emd程序源码，里面已经对边缘效应进行了处理。可以用来处理非平稳信号-This is the EMD program source, which has been on the edge effects have been dealt with. Can be used to handle non-stationary signal
emd
- 用于希尔伯特变换，里面有HHT谱计算程序，不是rilling版本，用改进的Hilbert变换，效果好一些，供大家参考-HHT spectrum of the calculation procedures, rilling is not a version of the Hilbert transform used to improve the results better for your reference.
NEWBAOLUO3
- 几个改进EMD算法的matlab代码，包括旋转EMD，间歇EMD。-Several improvements in the EMD algorithm matlab code, including rotating EMD, Intermittent EMD.
duoxiangshinihe
- emd分解中采用多项式拟合算法消除边界效应-emd decomposition of polynomial fitting algorithm is used to eliminate the boundary effect
impenv
- 改进包络法去除 emd 端点效应 改进包络法去除 emd 端点效应-improve envoy
1
- 将白噪声和瑞丽分布的噪声模拟为信号的背景噪声，分别通过小波去噪，EMD去噪，EMD结合小波去噪的方法来进行背景噪声去噪分析。-Ruili, the distribution of white noise and the noise modeled as background noise signals, respectively, through the Wavelet denoising, EMD denoising, EMD combined with wavelet denoising a
dist_value
- 这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！-This is the huang in 2009 based on the improved EMD algorithm EEMD matlab code!
emd
- 这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！-This is the huang in 2009 based on the improved EMD algorithm EEMD matlab code!
extrema
- 这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！-This is the huang in 2009 based on the improved EMD algorithm EEMD matlab code!
significance
- 这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！-This is the huang in 2009 based on the improved EMD algorithm EEMD matlab code!
KUAISUEEMD
- 改进的希尔伯特黄变换的matlab实现，对信号进行emd分解，信号分析-Improved Hilbert-Huang transform matlab realize, emd decomposition of the signal, the signal analysis
HHT-MATLAB-program
- 程序实现hht变换，其中EEMD是针对EMD方法的不足进行改进的一种噪声辅助数据分析方法。-The above programs are the preliminary version of an HHT software. In future, more modules that provide more features.