zhuanhuan

一些用matlab编的经济学程序，都是很经典的一些程序(Matlab made some use of economics procedures are some of the classic procedure)

这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下，自行完善了在一定先验概率的条件下，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。 调用最小风险贝叶斯分类器决策子函数时，根据先验概率，再根据自行给出的5*5的决策表，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，放入决策数组中。 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”，调用最小风险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，就可以得到在一定先验概率条件下，决策表中不同决策的错误率的统计。 (This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability 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 The third step is the 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 . Bayesian classifier )

小电流接地系统选线的小波分解相关程序，有用(Small current grounding line selection system wavelet decomposition procedures useful)

4PSK误码仿真率，可帮助读者解决4PSK调制信号的误码率分析问题(Simulation 4PSK error rate, can help readers solve the modulation signal 4PSK BER analysis)

说明：  L-曲线法是反问题正则化方法中的参数选取中的重要方法，本程序给出了如何恰当选取其中的参数！(L-curve method is the inverse problem regularization method of parameter selection in an important way, this procedure is given on how to properly select one of the parameters!)

inverted pendulum model good example for modeling IP

i found in net it is good for matlam developing in power systems filed.

lmi求解控制增益程序，希望对大家有帮助(lmi procedures for solving control gain, we hope to help)

mtlab仿真的基于遗传算法的pid,实数编码和二进制编码(mtlab simulation based on genetic algorithms pid, real coding and binary coding)

Modeling and simulation of a grid connected wind-driven electricity generation system has been done. The power conversion unit features a wind-turbine-driven PMSG, a diode rectifier, and a dc/ac inverter