M03-AT-Command---User-Manual

图像处理实验，大学生创新实验的测试程序，希望对广大同学有所帮助(Image processing experiments, students test innovative experimental procedures in the hope of the majority of students to help)

图像插值，最邻近，双线性，双三次算法函数(Image interpolation, nearest neighbor, bilinear, bicubic algorithm function)

说明：  用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 (The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem)

high pass filter by matlab language

随机振动-李雅普诺微分方程的精细积分在计算机上的实施算例。(The precise integration of random vibration- Lyapunov differential equations to implement on a computer example. )

这是一个基于马尔科夫链的蒙特卡罗历程，可以帮助初学者理解mcmc(based on a Markov chain Monte Carlo process, can help beginners understand MCMC )

pca face recognition

雷达影像后向散射系数计算,并绘制后向散射系数图(backscattering coefficients of Radar image, show the figure of backscatter coefficients)

随机森林指的是利用多棵树对样本进行训练并预测的一种分类器，包括两个方面：数据的随机性选取，以及待选特征的随机选取。(Random forest refers to the use of more than one tree to sample the training and prediction of a classifier, including two aspects: random selection of data, as well as the characteristics of random selection.)

自己写的Possion过程仿真，包括Possion过程的产生和检验。用指数分布叠加产生，用kstest函数检验。(Write your own Possion process simulation, including the production and testing Possion process. Produced by superposition of exponential distribution, with kstest function test.)