TX_Div

在matlab开发环境下，实现数字图像的直方图统计，直接可运行，程序中路径为绝对路径(Development environment in matlab, digital image histogram directly to run the program for the absolute path in the path)

matlab heart形状方程演示，增添了matlab学习兴趣(matlab heart shape equation demonstrates, adding matlab interest in learning)

ipmsm speed control using a controller with trial purpose

编程珠玑（第二版）中英双语版，附源代码，是本不错的代码优化指导书(Abas Programming (second edition) in both Chinese and English version, with source code, is the good code optimization guide book)

说明：  使用矢量控制的一个风力发电系统框图，整个模型是一套完整的系统，能很好的进行仿真，是本人的毕业设计，希望对做这方面的同学有所帮助。(Use of vector control block diagram of a wind power system, the model is a complete system that can simulate good is my graduation project, want to do this help the students.)

利用该代码可进行非线性光学材料的闭孔Z扫描曲线拟合，给出材料的三阶非线性光学极化率(theoretical to closed aperture Z scan)

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 )

神经网络中用矩阵分块的方法处理数据量过大的情况，效果很好(Neural network is used in the method of matrix blocking deal with the situation of the large amount of data, the effect is very good )

在matlab或者PSCAD中对桥差不平衡电流进行仿真计算，得到仿真结果与常规计算结果一致，此方法修改简单快捷。(In matlab or PSCAD to bridge the difference between the current imbalance in the simulation calculation, the simulation results are consistent with conventional calculations, this method is simple and quick modification.)

阐述最小移频键控gmsk信号的性能分析方 法(Signal Simulation of GMSK)