tsp_demo

自编 点源 对于任意间距线阵的波束成形仿真程序 频率、阵元数量、主波束方向可调(Self point source for any interval linear frequency beam forming simulation program, the number of array elements, the main beam direction adjustable)

风速预测源代码，通过已有数据预测将来1小时的风速(wind prediction)

this code generates random numbers according to different distributions, Gaussian distribution, Rayleigh distribution, Rician and Nakagami, weibull and suzuki model.

这是由电子科技大学那里弄来的容积卡尔曼算法模板 希望对大家有用(This is a volume of Calman algorithm for template by the University of Electronic Science and technology to get to hope useful for everyone)

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)

非常好的工具箱，包括了各种著名的算法，可以试一试(Very good kit, including a variety of well-known algorithm, can try)

在MATLAB中，编程确定图像中某一字母位置的源程序，可以使用，图像只有黑白两种颜色(In MATLAB, the program to determine the location of the image source of a letter, you can use, only black and white images)

Matlab source code related to image. which is useful for the developers

MATLAB 课本实例教程MATLAB 课本实例教程MATLAB 课本实例教程MATLAB 课本实例教程(MATLAB)

这个算子算是图像历史上第一个特征点提取算法了，1977年提出的，很简单，拿来练手很合适。(This operator is the first feature point extraction algorithm in the history of the image. It was proposed in 1977. It is very simple and suitable for hand training.)