MATLAB

说明：  多变量内模模糊控制程序，将内模控制与模糊控制结合起来，实现更好的控制效果。(Multi-variable fuzzy internal model control procedures, the internal model control and fuzzy control combined to achieve a better control effect.)

fenbushuju文件用于拟合zernike波面与原始波面的偏差。clgs，mgs，get-CG-decomp文件分别为使用传统Gram-Schmit和修正Gram-Schmit算法实现QR分解，并获得计算值。而stability文件为Householder分解方法。工程上用来检验Gram-Schm的计算正确与否(fenbushuju file is used to fit zernike wave-front with the original wave-front deviations. clgs, mgs, get-CG-decomp files are for the use of the traditional Gram-Schmit and amendment of Gram-Schmit algorithm QR decomposition, and obtain the calculated value. The stability documents Householder decomposition. Engineering Gram-Schm used to test the correctness of the calculation of)

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)

使用OMP的CS重构算法，包含有lena图像。重构生成的图像质量由随机生成的重构矩阵决定(The use of OMP CS reconstruction algorithm, contains Lena image. Reconstruction image quality by the random generation of reconstruction matrix decision)

basic dsge model in dynare

the file is matlab about MSK

利用bp神经网络来对某地区的电力负荷进行预测(Prediction of Power Load Based on BP Neural Network)

pazern窗估计的matlab程序，可直接运行(matlab windows pazern estimated procedures, can be directly run)

采用遗传算法及改进的遗传算法进行配电网故障的定位 (Genetic Algorithm algorithm for fault location of distributionnetworks)

利用计算机编程实现加性干扰信号的维纳滤波(Use of computer programming plus interference signal Wiener filter)