gabor_bank

本文件为本人学习matlab编成期间的部分笔记内容，都是比较重要的知识点和初学者十分容易出错或者十分困惑的问题。包括函数的重要概念，GUI回调语句中的引号问题，点运算等等。()

进行了车牌的定位识别matlab编程，有血药的可以借鉴。(Conducted license plate recognition matlab programming position, the drug can draw blood.)

光纤耦合器中光孤子传输的仿真研究，计算物理实习，很不错的。（转）(Fiber Coupler Simulation of optical soliton transmission, computational physics internships, very good. (Rpm))

A simple message window similar to msgbox without button,转载(A simple message window similar to msgbox without button, reprint)

提供了三个NLMS算法程序，结果良好，供大家参考(provide 3 NLMS algorithm program with good results. Please refer to it.)

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)

用有效集方法求解一般凸二次规划问题的Matlab 程序(The Matlab program for general convex quadratic programming is solved by using effective set method.)

Eletromagnetism file of Matlab of my teacher in university.

General TurboCode&Modulation simulation

这段程序是用遗传算法优化神经网络权值和阈值的gaot工具箱(This procedure is to use genetic algorithms to optimize neural network weights and thresholds of gaot Toolbox)