withcoding

这是关于水平集工具箱的一些功能演示，包括PPT，视频，对初学者使用该工具箱提供便利，值得推荐。(This is about the level of some of the features of the toolbox set presentation, including the PPT, video, for beginners to facilitate the use of the toolbox, it is recommend.)

基于固定点的ICA程序，并给出仿真的例子，鲁棒性很好(Based on fixed-point ICA procedure and the simulation example of a very good robustness)

irdeto source code for gamma cards

Matlab code for extraction

基于Mean_shift的运动目标跟踪算法，可实现高速公路车辆的检测(Moving Target Tracking Based on Mean_shift algorithm can achieve highway vehicle detection)

一个matlab程序关于在2D上的任意三角地区的稳定不可压缩的Stokes方程的有限元方法 (a program which applies the finite element method for the steady incompressible Stokes equations on an arbitrary triangulated region in 2D )

MATLAB小程序，实现模糊仿人只能的仿真，和PID进行了对比(MATLAB applet, fuzzy imitation only simulation, and PID were compared)

混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法(Prediction is a kind of dynamic filtering, in which past values of one or more time series are used to predict future values. Dynamic neural networks, which include tapped delay lines are used for nonlinear filtering and prediction.)

本文为Stephen J.Chapman《MATLAB 编程（第二版）》英文影印版的中文译本，这本 书对初学者很好的入门教材(This article Stephen J.Chapman MATLAB Programming (second edition), the English version of the Chinese translation of photocopying, this A good book for beginners introductory textbook)

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)