MATLAB100cases

matlab garch工具包 非常智能(matlab garch kit is very smart)

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 . )

说明：  一个协方差交集的matlab函数,可以直接调用的函数(Matlab code on intersection of a covariance.The function can be directly called)

此例程是matlab6.5辅助小波分析与应用例程书中的例程，希望对您有用(This routine is matlab6.5 auxiliary routines and application of wavelet analysis of the routine book, I hope useful for you)

一维世界qlearning算法实现自主向右移动(one qlearning example)

子图像与母图像的匹配（子图像是母图像的一部分），用于判断子图是否在母图中(Sub-image and the master image matching (sub-image is the image part of the mother), used to determine whether the parent graph graph)

说明：  这是一个计算盒子维数的程序，值得我们收藏(This is a procedure for calculating the box dimension, it is worth our collection)

说明：  用MATLAB环境编的一个遗传算法和BP网络结合的小程序，(small program--MATLAB environment is made up of a genetic algorithm and BP networks in combination with )

matlab中有关视频图像处理的一些代码介绍，用法，以及例子。(The video image processing in matlab code, usage, and examples.)

水声通信中海洋噪声的仿真，wenz测量的噪声谱线级，噪声估计MATLAB(Noise level underwater communication lines in ocean noise simulation, wenz measured noise estimation MATLAB)