OFDM_64QAM

MatLab工具箱应用指南：控制工程篇 完整版(MatLab Application Toolbox Guide: Complete Control Engineering articles)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components. The number of principal components is less than or equal to the numbe

维也纳理工大学，LTE物理层链路仿真其中的信道估计模块的m语言代码(Vienna University of Technology, LTE physical layer link simulation in which the channel estimation module m language code)

PROGRAM FOR UR 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)

提供一个matlab程序，功能是将被Delta-Sigma调制器调制过的信号解调出来。(Provide a matlab procedures, functions will be Delta-Sigma modulator modulated signal demodulated.)

这是一个论文中给出自适应均衡的RLS算法的仿真程序(This is a paper given in the RLS algorithm for adaptive equalization of the simulation program)

This is the matlab simulation of fully controlled DC Motor.

有12个外表一模一样的小球，其中有一个的质量和其他11个球不一样（11个球的质量完全相同） 而且该球不知道是轻点还是重点。现在给你一个天平（无砝码），只有3次测量机会，请你找出该球。(12 looks exactly the same ball, which has a quality and not the same as the other 11 balls (11 balls in the quality of the identical) and that the ball does not know the point or focus light. Now to give you a balance (no weight), only 3 measurements chance, you find the ball.)

说明：  AR模型的源程序。(AR model of the source.)