kalman-2

支持向量机用于回归，在MATLAB里实现的。方便好用(Support vector machines for regression, implemented in MATLAB in. Is easy to use)

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)

The objective is to construct different line beams

This package contains Matlab class to serialize/decode matlab object in json format. The software uses org.json java package to convert json to java object and then translates it into Matlab object.

机器人机构的速度与加速度可以用通过程序来计算得出，方式更为简便(Robot body velocity and acceleration can be calculated by the program, more convenient way)

miso simulates the ser for different miso systemms 2*1,3*1 4*1 and 8*1

Sample program to study Location Determination Techniques using OTDOA

算是一个小小的教程，交给初学者如何使用matlab，进行聚类分析，里边包含源码及示例。(Is a small tutorial to the beginners how to use Matlab, cluster analysis, and the inside contains the source code and examples.)

有关matlab并行以及分布式运算的书籍，适合初学者使用。(About matlab parallel and distributed computing books for beginners to use.)

MATLAB IIR设计,可以设计出自己想要的滤滤器(the design of IIR in MATLAB)