Kalmanfilter_june

蒙特卡洛算法用于解非线性方程，包括三个函数(Monte Carlo algorithm for solving nonlinear equations, including the three functions)

结构方程中拟合函数的迭代算法，不同于PLS算法。而是采用BFGS拟牛顿法求解，得出的结果与LISREL软件结果一致. 注：此算法只是针对本人一个模型使用，不同模型要做改动(This program for solving the fit function of Strual Equation Modeling ,BFGS is using for minimize the fit function with the initial point estimated by PLS)

二维码扫描应用demo，精选ios编程学习源码，很好的参考资料。(Two dimensional bar code scanning application demo, select learning IOS programming source code, a good reference.)

1.边缘检测，分别用Sobel, Laplacian-Gaussian 方法对一幅灰度图像进行边缘提 取，并给出对比结果； 2.灰度阈值分割：利用双峰法对一幅灰度图像进行灰度分割处理。(1. Edge detection, respectively Sobel, Laplacian-Gaussian methods on a gray-scale image edge extraction, and gives comparative results 2. Gray threshold segmentation: Using Twin Peaks method a gray image gray-scale be dealt with separately.)

5次bezier曲线可以运行，已经经过尝试(5 bezier curve can run, has been tried)

本附件为电力系统分析工具箱PSAT软件最新版本的程序2.1.6版本，与大家分享(Power system analysis toolbox 2.1.6)

说明：  关于高阶统计量下的盲均衡算法的一个详细的理论介绍(Order statistics on the blind equalization algorithms under a detailed theoretical description)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

The book is an introduction to the application of fault diagnosis and fault toler- ance in the areas of electrical engineering, mechanical and chemical engineering and computer science. It is addressed to students and practicing engineers in research and development, design and manufacturing. Preconditions are basic undergraduate courses in system theory, automatic control, and mechanical and/or electrical engi- neering.

说明：  基于matlab语言的针对33节点电力系统的电压初始值程序(Based on matlab language for 33 node power system voltage initial value program )