feiheng

matlab 的句柄实现过程及实例解析 (matlab instance handle and resolve implementation process)

Demo for the Fractional-Order Chaotic Systems (FOChS) - functions

Music GTD方法针对一维像的散射点提取(Music GTD Method for one-dimensional scattering point like extraction)

低噪声CCD信号采集与处理系统技术研究 (Research on low-noise CCD signal acquisition and processing system technology)

数字图像处理课程上机实验3_Matlab邻域平均法 和中值滤波法（matlab代码全）(Digital Image Processing courses on experiments 3_Matlab neighborhood average and median filtering method (matlab code full))

BPSK系统的误码率仿真的详细的matlab程序～～～～～～～(BPSK BER simulation of the detailed matlab program ~~~~~~~)

遗传算法的matlab实现的多个实例介绍及实现(The introduction and implementation of multiple instances of matlab implementation of the genetic algorithm)

matlab simulink model for pmsg wind ready model....

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)

考察一个在热循环中的表面贴片电阻。一般情况下，连接贴片电阻与电极的焊点是其中最薄弱的环节，它通常对温度和时间表现出较强的非线性。为了确保结构的完整性，基于蠕变应变和耗散能进行了疲劳分析。(This case study of a surface patch resistance in a thermal cycle. In general, the solder joint is the weakest link, which usually shows strong nonlinearity in temperature and time. In order to ensure the integrity of the structure, the fatigue analysis is carried out based on the creep strain and dissipation energy.)