yuzhifenge

数据融合的问题，比较详细，完整，看那一系列文档(Data integration issues, more detailed, complete, look at a series of documents)

matlab熵，联合熵和互信息的程序，亲自测试过(entropy,mutual information entropy,good matlab code,play enjoy)

轻武器权限申请程序等外侧段v二大王我我的2的1我(In cognitive radio networks, power control is considered as an important issue to improve the performance of dynamic spectrum sharing. In this paper, in order to maximize the efficiency of the system, the secondary users and primary user behaviors will be considered. )

matlab7.0一书的电子教案，PPT文档，以及书中的程序，不错的资源(matlab7.0 book electronic templates, PPT files, and the program book, a good resource)

用matlab语言对数字图像处理进行了系统的阐述，冈萨雷斯的代表作(Gonalez matlab digital image processing using matlab )

naive bayesian classification

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)

龙格库塔算法Runge-Kutta，包括二阶到四阶的MATLAB程序。(Runge-Kutta MATLAB 123456)

主要是看如何产生矩形波，定义了矩形波的持续时间，采样点数(width points)

计算多重分形非趋势波动分析，包括回归分析和概率统计，用于时频分析算法。( Calculate the multifractal trend fluctuation analysis, Including regression analysis and probability and statistics, For time-frequency analysis algorithm.)