搜索资源列表
OUTPUT FOR EMD
- output for EMD and IMF
emd-matlab
- emd算法matlab程序 经验模态分解（Empirical Mode Decomposition, EMD）是将信号分解成本质模态函数（intrinsic mode functions, IMF）的组合。该方法被认为是继傅里叶变换之后又一划时代意义的处理方法。-emd matlab Mode Decomposition Empirical (EMD) is a combination of mode functions intrinsic (IMF).. This method is con
imf_fft
- 信号emd分解后，对imf分量进行FFT变换，求频谱图-After the signal EMD is decomposed, the IMF component is transformed to FFT, and the spectrum is obtained.
matlab
- 进行希尔伯特黄变换时，用EMD方法分解出IMF函数的程序- When Hilbert-Huang transform method using the EMD decomposition of functions IMF program
LABVIEW-HHT
- 采用labview编写的用于调用Matlab，实现希尔伯特黄变换，并读取各阶IMF-Using labview prepared for each order IMF calls Matlab, realize Hilbert-Huang Transform and read
emd
- 信号处理的emd代码，将信号分解成imf分量-Emd-code signal processing components of the signal into imf
emd
- EMD能够自适应的处理非平稳信号，并将其分解为多个具有物理意义的平稳的固有模态函数（IMF）-Empirical Mode Decomposition (EMD), is proposed in this paper. First, the EMD is used to make the time series stationary. Then based on phase-space reconstruction theory, identify the chaotic characteris
eemd
- EEMD源代码，能够预处理白噪声时间序列，对预测精度有很大提高，IMF的个数可以根据自己的要求来设置。-EEMD source code, can preprocessing white noise time series, the prediction accuracy is greatly improved, the IMF s number can be set according to their requirements.
jingyanmotai
- 该程序实现对信号进行经验模态分解，并进行多个IMF分量的比较。-The program for the signal to carry on the empirical mode decomposition, and carry on the comparison of multiple IMF component.
HHTfromZhai
- 包括，emd分解，hht求包络、频率、相位，及每个imf做的傅里叶分析。-HHT procedures, including, EMD, HHT for the envelope, frequency, phase, and the Fourier analysis of each IMF do.
emd
- 笔者项目经验，用于IMF分量分解，高效准确，可用于频谱包络谱分析。-Author project experience for IMF component decomposition, efficient and accurate, and can be used for spectral envelope spectrum.
emd
- 经验模式分解程序，由我们课题组编写，计算本征模函数-emd program, our group write,compute imf
HHT
- 可以实现信号的HHT变换,可以显示各阶IMF分量以及EMD分解过程-This is program that use to HHT transform of signal,so it is very useful.plesease call me !!!
HHT
- 把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。-The combination of HHT and neural network to identify whether the fault. For the HHT tr
emd-method
- 经验模态分解(EMD Empirical Mode Decomposition )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)信号的极值点(极
eemd
- 考虑地震波入射角后的的对emd深化得到eemd方法，实现eemd的IMF提取- emd to eemd，just to get every IMF
HHT-LabVIEW
- 利用LabVIEW编写希尔伯特黄变换HHT的算法，实测可用，包括总程序 ，以及IMF，样条插值等各个子VI 函数-Use LabVIEW to write Hilbert Huang Transform HHT algorithm found available, including the overall program, as well as IMF, each sub-spline interpolation function VI
LMD
- 自己变成的LMD算法，用于轴承故障诊断方向的诊断信号进行分析。能实现对轴承故障信号进行有效提取，分为多个IMF分量和参与分量。-LMD algorithms themselves into, the diagnostic signals for the direction of the bearing fault diagnosis are analyzed. Bearing fault signal can be achieved effectively extracted into a pl
emd-simple
- emd分解的一个实例，包括原信号以及分解后的imf分量。还包括对其中一个imf进行分析-emd simple
plot_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 the first signal empirical mode decomposition (EMD decomposition), then each IMF component decomposition of the Hilbert transform, time-frequency frequency analysis meth