搜索资源列表
emd1
- 此文件包里的内容概括了EMD算法的前世今生，从emd分解到hht谱，有各种ppt，各种算法的原理介绍，emd分解的动态演示ppt，以及包含一个改进emd源程序算法，内容丰富，和大家分享，值得学习 -This file bag Outlines the incarnations of the EMD algorithm, the EMD decomposition to HHT spectrum, there are all sorts of PPT, all kinds of algorith
emd2
- 这是关于emd前世今生的第二个文件夹，因为二个放在一起太大了，传不上去。资料很多，值得学习-This is about the emd incarnations of the second folder, because the two together is too big, preach not up.A lot of information, worth learning
qhrbh
- 包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角，使用matlab实现智能预测控制算法，针对EMD方法的不足。- It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Use matlab intelligent predictive control algorithm, For lack of EMD.
deflqitpon-represent
- 相似度评估算法,Earth Movers Distance (EMD),很好的-Similarity uation algorithm, Earth Movers short (EMD), very good
求IMF序列与原始序列的互相关系数
- 混沌信号经过EMD分解，得到的IMF序列，求每个IMF序列与原始序列的互相关系数(The chaotic signal is decomposed by EMD to obtain the IMF sequence, and the cross-correlation coefficients between each IMF sequence and the original sequence are calculated)
plot_hht
- 对非平稳信号进行模态分解为瞬时频率有实际意义的多个分量，进而用希尔伯特得到个分量的瞬时频谱，测试有效(The modal decomposition of non-stationary signals is effective)
EEMD-Project-master
- EEMD经验模态分解算法，将观测信号分解为若干信号子空间和噪声子空间(this is a function to calculate instantaneous based on EMD method)
fenjie7768
- labview编写的EMD分解程序 经验模态分解方法（EMD）在非平稳信号的分析和处理中起着重要的作用，为了能够方便的使(EMD decomposition program written by LabVIEW, empirical mode decomposition method (EMD) plays an important role in the analysis and processing of non-stationary signals, so as to make it co
package_emd
- matlab 实现经验模态分解方法，方便实用(Use Matlab to realise empirical mode decomposition method, convenient and practical)
ch517
- Very suitable for the study using computer vision, Normalized data model, modal vibration, For lack of EMD.
EMD-SVM-ss
- SVM-SS method of forecasting Daquan, very good tools and methods of application
dmrfx
- ofdm system simulation including 16qam modulation fft windowing modules plus cp, For lack of EMD, Can realize the two-dimensional data clustering.
utziwxd360
- 一部分希尔伯特-黄变换HHT的经验模式分解EMD程序,,(Hilbert huang transform (HHT - a part of the empirical mode decomposition EMD program,,)
2334
- Prediction Error Method for Parameter Identification - the idea of relaxation, Is the basis of the signal processing, For lack of EMD.
SWEMD_LS_v2
- 该算法类似于“parabemd”，但计算很快，可以用很长的信号，在生物医学信号处理中应用广泛。使用方法详见描述文件。(The algorithms performs like our previous one "ParabEmd" but it is faster and can be used for very long signals as those we find in biomedical signal processing. The way how to use
EMD-DFA
- 此代码基于经验模态分解的去趋势波动分析,可以让你输入噪声信号而得到去噪后的输出结果(This code allows you to input a noisy signal and provides the denoised output using empirical mode decomposition-detrended fluctuation analysis)
gijuu
- For lack of EMD, Least-squares regression analysis algorithm, Iterative self-organizing data analysis.
pyhht
- python 3.x 实现希尔伯特黄变换，其中包含了经验模态分解函数，hilbert谱分析函数，和瞬时频率计算等函数。(python 3.x implements a Hilbert yellow transform that contains functions such as empirical modal decomposition functions, hilbert spectral analysis functions, and instantaneous frequency cal
fgqda
- ML estimation method can be a good signal to noise ratio, For lack of EMD, Graduation usefu.
gbxxm
- Normalized data model, modal vibration, For lack of EMD, Numerical solution of differential equations method.