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复变函数与积分变换例题源码 关于一门数学科目的MATLAB语言实现(Complex Variables and Integral Transformation)

自己编写的HYMOD水文模型模块，能够直接运行得到HYMOD的结果。(I have written HYMOD hydrological model module, capable of running HYMOD results obtained directly.)

一级倒立摆系统模糊控制的Matlab仿真程序，模糊控制器根据Matlab工具包里的slcp.fis修改。超调量很小(Matlab simulation program, an inverted pendulum system fuzzy control fuzzy controller based Matlab toolkit slcp.fis to modify. Overshoot is small)

降维工具箱，有PCA，LDA等等比较全面，里面有说明。(Dimensionality reduction toolbox, PCA, LDA, and so a more comprehensive, there are instructions.)

这是一个完整的基于联合概率和先验模板的目标跟踪代码，运用APG求解最小化问题，有详细注释。(This is a complete object tracking code based on joint probability and a priori template. It uses APG to solve the minimization problem with detailed annotations.)

基于DCT数字水印算法的Matlab实现源代码,1. 将文字水印和图像水印转换为二值序列水印； 2. 对水印进行置乱，提高其安全性； 3. 选择合适大小的块，给出DCT域中频分块编码方案；(DCT-based digital watermarking algorithm Matlab source code, a text watermark and image watermark converted into a binary sequence watermark .. 2 watermark scrambling to improve their safety 3 Select the appropriate size of the block, given DCT domain frequency block coding scheme )

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)

复杂网络中的计算工具，聚类系数和平均聚类系数的函数(The complexity of network computing tools, clustering coefficient and average clustering coefficient of the function)

image processing using matlab book

BPSK and ASK simulation. I m only sharing it with you.