duanlu

代码优化讲义，介绍如何优化代码，使代码运行效率最高(Code optimization notes on how to optimize the code, so that the most efficient code to run)

Its a hodgkin-huxley code in Matlab

使用遗传算法（genetic algorithm）进行路径规划，得出移动机器人的最优运动路径，，欢迎大家下载，并互相交流，共同学习，共同进步(path planning based genetic algorithm(GA) can get the optimal path of mobile robot)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )

Randon data from program

说明：  MATLAB tutorial (1) introduction, interface and help, basic commands and statements, M files and M functions (teacher zhou luwen

基于C的Matlab函数功能扩充组合代码(Based on the C to expand the portfolio of Matlab Function code)

image smoothening and filtering

MATLAB DEMO ENTITY ED EVENTS

数据频域分解法，基于结构的环境白噪声激励响应数据，识别结构的频率和振型(The frequency domain decomposition method, based on the structure of the environmental white noise stimulus-response data, identify the structure of the frequencies and mode shapes)