MCZT

a single layer perceptron ,developed by matlab

说明：  根据moutaintop空时自适应数据编写的最优STAP方法(According to data prepared moutaintop space-time adaptive optimal space-time adaptive processing)

steepest descent method

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Call the minimum error rate decision Functions Bayesian)

实现汉明码的编码和译码，可设定误码位置，查看纠错效果。(Achieve Hamming encoding and decoding, error location can be set to see the error correction effect.)

一种基于稀疏变量的欠定盲分离算法，很好用，大家试一下。(Underdetermined blind separation algorithm based on sparse variables)

此代码主要是用simulink搭建的一个三电平SVPWM模型，能出图，实用型的一个代码。(This code is to use a three-level SVPWM simulink model structures, to a map, a practical code.)

Matlab Mathmatical cal

基于遗传算法的主动悬架模糊控制，通过遗传算法来优化模糊控制的隶属度函数，以此来优化悬架的垂直加速度的方均根(Fuzzy control of active suspension based on genetic algorithm and membership function of fuzzy control are optimized by genetic algorithm to optimize the mean square root of vertical acceleration of suspension.)

该逻辑蒂斯回归模型matlab程序用于数据多分类，适用于有监督，学习型模型。(the matlab code of logistic regression used for data multi-classification. it is a kind of unsurpervisor study.)