visco-plastic-boundary-of-umat-

基于Matlab的程序，复化梯形公式求积分的算法(Matlab-based procedures, rehabilitation of trapezoidal formula for integration algorithm)

this is matlab user-guide.

说明：  文字与拼音字母转换源码输入文字后将拼音字母转换出来(characters and phonetic alphabets source conversion to enter text will change from the phonetic alphabets)

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)

采用多种方式的调制技术，在通信中具备抗干扰，抗多径等各种功能。(Modulation technique using a variety of ways, in communication with jamming, anti-multipath and other functions.)

Ashrea模型 太阳瞬时辐射强度预测 任何地点 任何时间(Ashrea instantaneous solar radiation intensity prediction model anywhere at any time)

singele phase to 3phase svpwm PMSM VF

matlab图像分割实例，K均值用于图像分割，割调用库函数实现，带注释，简单易懂(matlab image segmentation examples, K means for image segmentation, cutting calls library functions, with comments, easy to understand)

用matlabf编程求解通常的图着色问题,经常使用这个原理的.(Matlabf programming is usually used to solve the graph coloring problem, frequent use of this principle.)

对利用vc和matlab的混合编程技术进行介绍(For mixed use vc and matlab programming techniques are introduced)