MATLAB

用MATLAB模拟的机械凸轮，包括速度、加速度模拟等，相互学习(Mechanical cam with matlab)

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)

R-D算法 产生数据的m文件 是最简单的情况 不弯曲不走动(R-D algorithm to generate m file data)

This mfile simulates adaptive spectrum sensing.

Mastering MATLAB Toolbox Reference version 6.0 是英文的，不错的，希望对大家有帮助(Mastering MATLAB Toolbox Reference version 6.0 is English, yes, I hope all of you help)

进行KK关系的计算，对于因果事件的分析有好处(KK relations for the calculation of benefits for the causal analysis of events)

此工具包是对Matlab的随机工具包的扩展，对于研究随机控制的人有很大的帮助(this tool kit of Matlab random tool kits expansion For the randomized controlled study will be very helpful)

对一个等边三角形，每条边按照Koch曲线的方式进行迭代，产生的分形图称为Koch雪花。编制程序绘制出它的图形，并计算Koch雪花的面积，以及它的分形维数(An equilateral triangle, each edge iterations, in accordance with the manner of the Koch curve generated fractal images is known as the Koch snowflake. Programmed to draw its graphics, and calculate the area of the Koch snowflake, and its fractal dimension)

KL变换的程序,KL transform procedure,matlab源码(KL transform procedure using Matlab)

系统介绍了MATLAB7.0的基本功能，并设计了丰富的实例(MATLAB7.0 system introduced the basic functions and design a wealth of examples)