opticflow

这是一个MATLAB的学习课件,里面有许多MATLAB实用的好例子,有兴趣的朋友可以(This is a MATLAB-learning courseware, there are many good examples of MATLAB practical, interested friends can)

说明：  若锗中含有一定数量的杂质元素Sb，试根据要求分析杂质浓度与电离度以及电离温度之间的关系： （1）当Sb浓度分别为 和 时，计算杂质99％，90％和50％电离时的温度各为多少？ （2）根据一定杂质类型和杂质浓度，画出电离度和温度的关系图线，并确定半导体处于强电离区（电离度>90％）的温度范围。 设计要求：（1）具有友好输入输出界面； （2）调整输入数据，得出相应结果，并进行分析。 (If the germanium containing a certain number of impurity elements Sb, test analysis in accordance with the requirements of impurity concentration and ionization degree, as well as the relationship between the ionization temperature: (1) When the Sb concentration and time were calculated 99 percent of impurities, 90 and 50 ionization When the temperature of each number? (2) according to certain types of impurities and impurity concentration, ionization degree and temperature to draw the relationship between the graph lines, and to determine the semiconductor in a strong ionization zone (ionization degree)

This cod is a RaoB unscented kalman filter in 5 state.

一个实现随机动态规划的实例的matlab代码，附有参考文献，适合初学者(A realization of stochastic dynamic programming examples of matlab code, with references for beginners)

说明：  MATLAB关于数学建模的相关基础教程 自己用的也是它 包括教程和命令查询(MATLAB on the mathematical modeling of the relevant basic tutorial is also its own use, including tutorials and command queries)

说明：  支持向量机libsvm分类 林智仁(Lin Chih-Jen)的工具箱 一看便学会了怎么用libsvm。(a good m file!a gooa good m file!d m file!a good m file!a good m file!)

matlab files of threshold autoregressive model STAR

赶火车过程仿真 一列火车从A站经过B站开往C站，某人每天赶往B站乘这趟火车。已知火车从A站到B站运行时间为均值30分钟、标准差为2分钟的正态随机变量.火车大约在下午1点离开A站。离开时刻的频率分布为 (Process simulation, a train to catch the train from A through B station station station bound for C, B Station tour someone rushed to the train every day. Known to the train station from station A to B as the average running time 30 minutes, standard deviation of 2 minutes of normal random variables. Trains leave about 1:00 pm A station. The frequency distribution for the leave time)

IMPORTANCE SAMPLING sIGNAL PROCESSING

基于非线性方程，由状态方程与观测方程，并求其观测值。(Nonlinear equations, the state equation and observation equation, and find their observations.)