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这是一个关机的小程序，其实作用不大，只不过是做来玩玩的。(This is a small program shut down, in fact, not very useful, just do to play for.)

incidencia normal ondas planas simulación en el dominio del tiempo

采用爬山法求解优化问题，一共4个文件，函数和脚本分开放(Climbing method used optimization problem, a total of four documents, functions and sub-script open)

EVO CAM config for channels of sat

该程序研究了攻角为2度的条件下超音速翼型的气动力特性。(This program studies the aerodynamic characteristics of of supersonic airfoils under an attack angle of 2 degrees .)

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)

说明：  对近代概率论的知识体系作了详细的介绍。包括了许多基本的知识。(Modern knowledge of probability theory were described in detail. Includes a number of basic knowledge.)

说明：  matlab BP网络测试和训练都在里面(matlab BP network testing and training both inside)

并行处理J PEG算法的优化(Image compression can be used for graduate thesis work of design)

Image compression using SVD is a very useful compression algorithm. The image size will not decrease in the compression algorithm.