MPPT_PaO

说明：  SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能： 实验设计：中心复合设计，全因子设计，拉丁超立方体设计，D-optimal和maxmin设计。 代理：克里金法，多项式响应面，径向基神经网络和支持向量回归。 错误和交叉验证的分析：留一法和k折交叉验证，以及经典的错误分析（确定系数，标准误差;均方根误差等;）。 基于代理的优化：高效的全局优化（EGO）算法。 其他能力：通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities: Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs. Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression. Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others). Surrogate-based optimization: efficient global optimization (EGO) algorithm. Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.)

确定圆形目标：读取图像并转化为二值图像，(Determine the circular target: read image and converting it into binary image,)

关于matlab作图的具体实现，详细介绍了matlab一维二维和三维作图的命令和实用方法！(Drawing on the concrete realization of matlab, matlab detailed one-dimensional two-dimensional and three-dimensional mapping of the commands and practical method!)

this is a code to calculate the moment invariant of images. the values which come out are capable of removing rotational, scaling, transnational variation in image given as input.classification can be done with the help of it.

matlab primer

实现科斯塔斯环，pll程序，仿真通过，matlab程序(pll)

采用PHD filter进行视觉多目标跟踪的两篇顶级论文(Two important papers about using PHD filter to track multiple object in video)

学习MATLAB入门的有效途径，对学习新手很有帮助。欢迎下载。(learning portal, is an effective way to learn useful novice. Welcome to download.)

利用matlab把遥感影像，进行滤波处理。窗口可以选择3*3,5*5,7*7.。。(Using matlab to remote sensing image filtering. Window, you can choose 3* 3,5* 5,7* 7)

s函数学习的入门资料，很详细的介绍s函数的写作方法(s function study of introductory information, very detailed)