linear_feedback_shift_register_unit

EMD分解（利用在极值点序列首尾添加极值来处理问题）(EMD decomposition (using extreme points in both sequences to deal with the issue of extreme value to add))

z-source inverter simulation. single phase.

image comparison and degradation

jadeR.m是一种关于联合矩阵实现的fastICA的分离矩阵的求解(jadeR.m The method of soving separate matrix )

小波变换进行变速箱故障诊断 首先将s1和s2信号时域谱（s1代表维修前的振动信号，s2代表维修后的振动信号），画出来进行对比，会发现s1信号的振动幅值会比较高；然后对s1和s2分别进行小波分解并画出各层的时域谱，只对比s1和s2分后的最高时域谱，s2更加的具有周期性，且幅值较小，s2周期性不够明显，且振动过于密集。分析完时域谱后开始分析频谱，首先对原信号s1和s2fft转换，得到频谱图，如图，然后再对小波分析后高频部分进行fft转换，做出频谱图。对比后我们发现，在f 2375HZ出（也就是齿轮的啮合频率），s1信号频谱幅值会有急剧的升高，然后，其谐波的幅值也会增大。所以可以推断出该维修前的增速箱的齿轮可能出现问题。(Gearbox fault diagnosis based on wavelet transform s1 and s2 first time domain signal spectrum (s1 behalf of the vibration signal before maintenance, vibration signal s2 representative of repaired), drawn comparison, you will find a signal s1 vibration amplitude will be higher then s1 and s2 respectively wavelet decomposition and draw the layers of time-domain spectrum to only a maximum time domain spectroscopy s1 and s2 points after, s2 is more cyclical and smaller magnitude, s2 cyclical enough obviously, and the vibration is too dense. End domain spectral analysis after the beginning of the spectrum analysis, the first of the original signal s1 and s2fft conversion to give the spectrum, as shown, and then after the high frequency part of wavelet analysis fft transformation to make spectrum. We found that after the comparison, at f 2375HZ out (i.e. the gear mesh frequency), there will be a sharp increase in the amplitude spectrum of the signal s1, and then, the amplitude of the ha)

支持向量机(SVM)实现的分类算法源码[matlab] (Support Vector Machine (SVM), a classification algorithm source code [Matlab])

PCNN图像融合代码,txt格式复制使用(PCNN Image Fusion)

各种算法的matlab代码，方便你们学习和使用，全为matlab编写(Genetic algorithms, particle swarm optimization algorithm examples of easy to learn and use you, all written for the matlab)

一个用于处理PID算法数据及显示的MATLAB程序(A process PID algorithm MATLAB program data and display)

new sharpening concept