搜索资源列表
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.
Vibration-mode-decomposition-method-
- 用ANSYS对模态分析中的振型进行分解的一个算例-Example an ANSYS modal analysis of vibration mode decomposition
emd_by_matlab
- 用于处理信号的经验模态分解算法，请调用eemd.m函数-the emperical mode decompostion codes by matlab
eemd
- 总体平均经验模态分解适合于分析非线性、非平稳信号序列，具有很高的信噪比。-The overall average empirical mode decomposition process
National-Taiwan-Central-University
- 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.
lmd2
- 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.
FASTEEMD
- 整体经验模态分解，通过添加白噪声，提高分解的模态混淆作用-ENID whole by adding white noise, increase the decomposition of the modal role confusion
EEMD
- 集成经验模态分解，自适应分解原始信号，解压即可运行-Integrated Empirical Mode Decomposition
yanjei
- Pisarenko谐波分解算法,数据模型归一化，模态振动，该函数用来计算任意函数的一阶偏导数(数值方法)。- Pisarenko harmonic decomposition algorithm, Normalized data model, modal vibration, This function is used to calculate the arbitrary function of the first order partial derivative (numerical meth
pyVMD_any
- 变分模态分解的python版本，个人根据MATLAB版本译制而成(Python version of variational mode decomposition)