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HHT
- 用于对信号的HHT分析，可得到IMF、功率谱、边际谱等图-HHT for signal analysis, obtained IMF, power spectrum, marginal spectrum, etc. Figure
EMDs-11-6
- Hilbert-Huang 变换 EMD信号分解，实现IMF分量，hilbert能量谱-Hilbert-Huang transform EMD signal decomposition, to achieve IMF component, hilbert energy spectrum
116
- 针对柴油机振动信号的瞬时非线性特点, 提出采用柴油机振动信号的本征模函数( IMF) 分量进行特征频带识别的新方法。将柴油机振动信号经经验模态分解, 并去掉主要干扰因素所对应的IMF分量, 再将剩余IMF分量进行重构得到柴油机振动信号-For instantaneous nonlinear characteristics of vibration signals of diesel engine, the diesel engine vibration signal of the intrins
117
- 针对非线性非平稳信号的去噪问题，提出一种基于主成分分析（ＰＣＡ）的经验模态分解（ＥＭＤ）消噪方法．该方法根据ＥＭＤ的分解特性，利用ＰＣＡ对噪声信号经ＥＭＤ分解后的内蕴模态函数（ＩＭＦ）进行去噪处理-For nonlinear and non-stationary signal de-noising is proposed based on principal component analysis (PCA) of the empirical mode decomposition (EMD) de
Hilbert-Huang-Transform
- 信号的希尔伯特-黄变换，IMF分解，对IMF进行Hilbert处理，绘制二维/三维时-频图，时间-能量图(瞬时能量谱) ，频率-能量图（希尔伯特谱）-Hilbert signals- Huang Transform, IMF decomposition of the IMF Hilbert processing, rendering 2D/3D time- frequency diagram, time- energy (instantaneous energy spectrum), the f
ifreq
- 原信号分解成IMF后，用此脚本来计算此IMF的瞬时频率-After the original signal into IMF, use this scr ipt to calculate the instantaneous frequency of the IMF
Matlab-File-Exchange-Center
- 实现希尔伯特-黄变换的功能，并带有一段测试数据。希尔伯特-黄变换是使用EMD分解将信号分解为本征模态函数（IMF），然后求得IMF分量的瞬时频率。其对于非稳态和非线性信号具有优良的效果。-The function plot_hht is a realization of the Hilbert-Huang transform (HHT). The HHT decomposes a signal into intrinsic mode functions (or IMFs), and obtain
WVD
- 关于魏格纳分布的计算代码，可以得到IMF和各个特征频率以及进行希尔伯特变换。-About calculation code Wigner distribution can be obtained as well as the IMF and the individual characteristics of the frequency of the Hilbert transform.
QuickCam
- 实现对图像的经验模态分解，得到经验模态分解后的第一层IMF分量，反映了图像的主要信息，去除冗余信息，为识别提供了基础。-Empirical mode decomposition of image, obtain the empirical mode decomposition of the first layer of IMF component, reflected the main information of the image, to remove redundant informati
test2
- 他是HHT，经过EMD 分解后得到各阶imf分量。并且对各阶imf分量进行峭度求取。是经典的程序。-He is the HHT, EMD decomposition after each order imf components. And for each component of kurtosis order imf strike. Is a classic program.
emdfenjie
- 对采集到的振动信号进行EMD分解，得到一系列频率不同的经验模态函数IMF分量，可以用来滤波和提取原信号的特征。-The collected vibration signals of EMD, get a series of different frequency components of IMF empirical mode function can be used to filter and extract features of the original signal.
EMD
- 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 IMFs 这里 IMF 须满足如下两个性质 1 信号的极值点 极大值或极小值 数目和过零点EMD 算法是 HHT 的核心算法之一 用来将信号分解为一组性能较好的固有模 态函数(IMF) 以便进行 Hilbert 变换 数目相等或最多相差一个 2 由局部极大值构成的上包络线和由局部极小值构成的下包络线的平均值为零 用于心电信号处理-The purpose of EMD algorithm is that the b
emd
- 经验模态分解（EMD），对imf进行分析，再采用类小波阈值去噪。-Empirical Mode Decomposition (EMD), were analyzed for the imf, then using class wavelet thresholding.
qiuimf
- 安装过emd工具的，可直接求各imf分量的瞬时频率，包络频谱-Emd tools installed, you can find a direct component of the instantaneous frequency of each imf, the envelope spectrum
HHT-Matlab-runcode
- HHT就是Hilbert-Huang Transform（希尔伯特黄变换），美国航天航空局黄鳄教授发明的，大概的过程是：先对信号进行经验模态分解（Empirical mode decomposition －EMD），得出本征模态函数（IMF intrinsic mode function），再对本征模态函数进行希尔伯特变换-HHT is the Hilbert-Huang Transform (Hilbert-Huang Transform), NASA Professor Huang E in
a-program-about-HHT
- 一个关于EMD分解的程序，可以显示时频谱、IMF分解图和边际谱。-EMD decomposition of a program about when you can display the spectrum, IMF exploded and marginal spectrum.
eemd
- 采用EEMD方法对故障信号进行模式分解，通过产生不同的不同频率的IMF，实现对信号的诊断。-The fault signal was decomposed through EEMD method and the IMF including different frequent was produced, which can diagnose signal effectively.
2
- 首先，对复杂振动信号进行EMD分解，得到各个频率分量，接着，对各分量进行Hilbert变换，得到瞬时频率-END resolve,hilbert chang,evry imf,instantaneous frequency
wavenengliang
- 小波分析语音信号并计算各IMF包络的能量熵-Wavelet analysis of vibration signals and calculate the energy entropy IMF envelope
emd
- 经验模式分解的基础代码，可以对加了噪声的信号进行多层分解，求取imf值，并挑选出所需的基波成分-Code is the basis of empirical mode decomposition, the signal with noise can be multi-level decomposition, obtain the fund value, and sort out the fundamental wave component as needed