pso_main

在matlab运行环境下 实现霍夫曼编码及霍夫曼译码(Huffman coding matlab implementation)

关于matlab的方法及实例，有效，全面，是数学建模的好帮手(about matlab)

基于增广矩阵束的二维doa算法，阵列流型为L型，在matlab环境下实现(Doa algorithm based on a two-dimensional array Flow augmented matrix beam is L-shaped, achieved in the matlab environment)

this file contains the code about content based image retri

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 . )

labvIEW环境下，与matlab混合编程的一个例子，是利用activex与matlab进行通信。(labvIEW environment, mixed with the matlab programming example is the use of activex communicate with matlab.)

形成电力系统的裕度表，很经典的一个程序，经过多次测试都有很好的效果(The formation of the power system outage table)

The BNL toolbox is a set of Matlab functions for defining and estimating the parameters of a Bayesian network for discrete variables in which the conditional probability tables are specified by logistic regression models. Logistic regression can be used to incorporate restrictions on the conditional probabilities and to account for the effect of covariates. Nominal variables are modeled with multinomial logistic regression, whereas the category probabilities of ordered variables are modeled through a cumulative or adjacent-categories response function. Variables can be observed, partially observed, or hidden.

说明：  matlab光线追迹例子，用于三片式光学结构追迹仿真(matlab for optic ray tracing)

最小均方误差（MMSE）的算法用MATLAB的仿真(mmse)