Matlab_seven

混沌理论多尺度熵matlab实现函数，内附典型应用文章一篇。(Chaos theory matlab realize multiscale entropy function, enclosing a typical application of the article.)

基基于牛顿拉夫逊法的电力系统潮流计算matlab程序(Kiki in the Newton Raphson power flow calculation of power system matlab program)

eBook - Industrial Strength C++ - Visual C++ guide

matlab的教学文件 是帮助你学习MATLAB的好文件(matlab teaching file is to help you learn a good document MATLAB)

遗传算法，可以用来求解在一定范围内的函数的最值，进行函数优化(Genetic algorithms can be used to solve a range of functions in the most value for function optimization )

令信号长度为N=256，试分别用BT法和周期法估计产u（n）功率谱(So that the signal of length N = 256, respectively, the estimated production test u (n) the power spectrum with BT and Cycle Methods)

用Matlab编程，实现解决该问题的单样本训练BP网络，设置一个停止迭代的误差Emin和最大迭代次数。在调试过程中，通过不断调整隐层节点数，学习率η，找到收敛速度快且误差小的一组参数。产生均匀分布在区间[-4，4]的测试样本，输入建立的模型得到输出，与Hermit多项式的期望输出进行比较计算总误差（运行5次，取平均值）(Using Matlab programming, to solve the problem of single sample training BP network, set a stop error iterations Emin and the maximum number of iterations. In the debugging process, by continuously adjusting the hidden layer nodes, learning rate η, fast convergence and find a set of parameters small errors. Produce a uniform distribution in the interval [4,4] of the test sample, the model has been established input output with the expected output Hermit polynomial calculated by comparing the total error (run 5 times the average))

用于故障诊断的PCA方法例程5个(含KPCA)，利用PCA（主元分析）方法或者KPCA方法，进行工业系统的故障诊断程序，有详细的注释说明(PCA method for fault diagnosis routine five (including KPCA), using PCA (principal component analysis) method or KPCA method, industrial process fault diagnosis, a detailed explanatory notes)

MATLAB程序角点检测源码程序Corner detection MATLAB program source program(MATLAB process corner detection source program Corner detection MATLAB program source program)

KLT变换对信号的相关性，可以很好去除信号、数据的相关性，减小数据传输量。可以很好的提高速率，在图像处理中也有很好的应用！(KLT transform, signal correlation can be good to remove the signal, the correlation of data, reduce data traffic. May well improve the speed in image processing applications are also very good!)