On-Mixing-Fingerprints

matlab图像处理宝典 图像处理入门手册(matlab-image processing)

光学单缝衍射是光学中经常用到的实验，该实验能够很好地模拟光学实验，希望各位好好下载，不懂跟我联系(Single slit diffraction )

三维子空间music 方位角定义为与x轴的夹角，俯仰角定义为与z轴之间的夹角,俯仰角在0—90度，方位角0-180. 分辨不相关的两个角成功概率/估计偏差与SNR 最后进行谱峰搜索(Dimensional subspace music is defined as the angle and azimuth angle, pitch angle is defined as the x-axis and z-axis between the pitch angle of 0-90 degrees in azimuth 0-180 distinguish two unrelated probability of success angle/estimation error and SNR Finally peak search)

功率电子领域matlab仿真文件，已经验证过，程序运行正常(Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

实现BP神经网络的matlab运算，运算效率高，方便，快捷(BP neural network matlab realize operation, high operational efficiency, convenient and fast)

基于解相干的MUSIC源程序合集：Toeplitz算法；矩阵分解算法；空间平滑MUSIC源程序；矢量奇异值法；(Collection based on decorrelation MUSIC source: Toeplitz algorithm matrix decomposition algorithm spatial smoothing MUSIC source vector singular value method )

解决了三维数据可视化的问题；在三维网格点上数据绘制显示它的大小。 通过z轴坐标点更容易区分边缘颜色变化。可以通过设置线宽参数该选项设置为0。(This function solves the problem of visualization of 3 dimensional data in one plot(plot3). Data is plotted on a 3 dimensional mesh with point size showing value of it. Edge color changes via z axis to distinguish coordinate of points easier. That option can be turned off by setting the linewidth parameter to 0. )

说明：  在MATLAB中用共轭梯度法求解非线性函数的优化问题。(The conjugate gradient method is used to solve the optimization problem of nonlinear functions.)

说明：  学习C调用Mathematica内核函数的一个例子,包括计算和图形接口.(Learning C calling Mathematica kernel functions with examples, including computing and graphics interfaces.)

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)