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HHT
- HHT就是先将信号进行经验模态分解（EMD分解），然后将分解后的每个IMF分量进行Hilbert变换，得到信号的时频属性的一种时频分析方法。-HHT is a first signal to carry on the empirical mode decomposition (EMD decomposition), and then decomposed each IMF component of the Hilbert transform, get signal time-frequency
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- 1998 and Huang et al., 1999 is a recently developed method used for analyzing the nonlinear and non-stationary signal. The supreme innovations of HHT are the establishment of the concept of intrinsic mode function (IMF) and importing of empirical mod
EI-Centro--EMD
- EI Centro地震波时程的EMD分解，分解得到的一个典型的IMF分量，这个分量可以是线性的，亦可以是非线性的。-EI Centro earthquake wave of EMD decomposition process, decomposition of a typical IMF component obtained, this component may be linear, but also can be non-linear.
IMF分量图
- matlab用于故障分析，分轻微故障等自动识别，毕设作品，检验无误。
ImfAnalysis
- 关于希尔伯特黄变换（HHT）中最重要的概念即本征模态函数（IMF）的程序，初学者可利用该程序对任意信号进行分解，加强对HHT的理解。-For the Hilbert-Huang Transform (HHT) the most important concept that the intrinsic mode function (IMF) procedures, beginners can use the program to decompose the arbitrary signal, to
xujiayshangchuan
- 经验模态分解(Empirical Mode Decomposition,简称EMD)法是美籍华人N. E. Huang等人于1998年提出的，适合于分析非线性、非平稳信号序列，具有很高的信噪比。该方法的关键是经验模式分解，它能使复杂信号分解为有限个本征模函数(Intrinsic Mode Function，简称IMF)，所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。-Empirical Mode Decomposition method (Empirical Mode Dec
EMD
- 经验模态分解(Empirical Mode Decomposition,简称EMD)法是美籍华人N. E. Huang等人于1998年提出的，适合于分析非线性、非平稳信号序列，具有很高的信噪比。该方法的关键是经验模式分解，它能使复杂信号分解为有限个本征模函数(Intrinsic Mode Function，简称IMF)，所分解出来的各IMF分量包含了原信号的不同时间尺度的局部特征信号。(Empirical mode decomposition (EMD) is proposed by Chine
基于信息熵的约简MATLAB代码
- 利用matlab和ceemd进行编程求解简单的信息熵，根据求解的imf分量判断信号的情况(Using MATLAB and ceemd programming to solve simple information entropy, according to the IMF component to determine the situation of the signal)
VMD
- 应用于自适应信号分解，能有效避免分解的IMF分量的模态混叠的问题。(Applied to adaptive signal decomposition, can effectively avoid the decomposition of the IMF component modal aliasing problem.)
EEMD相关文件
- Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来
emd+HHT1
- EMD分解HHT变换，通过对实测波进行EMD分解为IMF，生成幅值，相位谱，边际谱(EMD decomposes the HHT transform, and generates the amplitude, phase spectrum and marginal spectrum by decomposing the measured wave into IMF by EMD)
hht+EMD2
- EMD分解HHT变换，通过对实测波进行EMD分解为IMF，生成幅值，相位谱，瞬时频率，三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
hht+EMD3
- HHT变换，通过对实测波进行EMD分解为IMF，生成幅值，相位谱，瞬时频率，三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
HHT+EMD4
- HHT变换，EMD分解通过对实测波进行EMD分解为IMF，生成幅值，相位谱，瞬时频率，三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
Hilbert-Huang5
- EMD分解HHT变换，通过对实测波进行EMD分解为IMF，相位谱，瞬时频率，三维时频谱(EMD decomposes the HHT transform and generates amplitude, phase spectrum, instantaneous frequency and three-dimensional time-frequency spectrum by decomposing the measured wave into IMF by EMD)
emd
- 可以将信号用EMD分解为IMF，经应用检测，本代码可以使用(Signal can be decomposed into IMF EMD, after application detection, the code can be used)
emd
- emd的方法对信号进行处理，得到imf分量(The EMD method processes the signal and obtains the IMF component)
emd_instfreq
- emd+instfreq，进行信号的图像处理，得到imf分量(Emd+instfreq, the signal image processing, to get the IMF component)
59804063pinlvguji
- 经验模态分解，matlab实现，用于信号的降噪处理，提取特征值处理等经验模态分解，这是用汉语注释的EMD程序，很不错的。％ 语法 ％ IMF = EMD(X) ％ IMF = EMD(X,..., Option_name ,Option_value,...) ％ IMF = EMD(X,OPTS) ％ [IMF,ORT,NB_ITERATIONS] = EMD(...) (This is annotated in Chinese EMD procedures, very good. Synta
HHT
- 基于经验模态分解法（EMD）的Hilbert-Huang变换（HHT）的MATLAB程序。 可将非平稳信号转换为平稳信号，通过将IMF分量累加重构得到平稳信号 。 主程序为HHT.m，需要用到hhspectrum.m函数、instfreq.m函数（在压缩包内）和已安装的EMD工具箱中emd函数。(The empirical mode decomposition (EMD) method based on Hilbert-Huang transform (HHT) of the MATLAB