nearest_neighbor_zoom

说明：  bp算法，经过运行测试，没有问题，值得使用(bp algorithm, after running the test, no problem, it is worth using)

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)

matlab实现模糊神经网络的很好的一个例子，大家可以看看。(matlab to achieve a good example of the fuzzy neural network, we can look at.)

这段程序是关于图像分析之边界图、轮廓图、直方图(This program is about the image of the boundary map, contour maps, histograms)

matlab的经典书籍,这是一本很好的书。将会很好的帮助你学习matlab 语言。(matlab s classic Book,please come on ,this is best,the book is really very good,if you download it,then it will help you!)

同步电机磁链观测器设计仿真（利用模糊控制）(Synchronous motor flux observer design and simulation (fuzzy control))

TABLA PARA HALLAR CENTROIDES DE MASA

joint pre-coder MIMO fullduplex

粗糙集理论属性约简的例子，基于MATLAB实现(This is the use of rough set theory )

经典无网格教程的无网格算法的例程，属于第六章例程(Classical meshless tutorial meshless algorithm routine, part of Chapter VI of the routine)