rx_demodulate

This is matlab mdl file ,SVPWM realization on TMS320F2812. Its wonderful.

这是一个用MATLAB实现的磁法球体相关性自动反演的小程序，搜索的时间很短，效率高(This is a MATLAB implementation by the magnetic sphere inversion automatically applets, search time is very short and efficient)

为了匹配信道特性达到较佳的传输效果，应选用适当码型，以便在最小传输带宽的条件下大大减小或消除这种干扰。选用了MATLAB软件进行了仿真，设计实现了一些简单的常用码型(In order to match the channel transmission characteristics to achieve better results, should use the appropriate code type, so that under the conditions of minimum transmission bandwidth substantially reduce or eliminate such interference. Use of the MATLAB simulation software, designed and implemented some simple common pattern)

说明：  这是一个用遗传算法GA处理实际问题的实例(This is a use of genetic algorithms to deal with the actual examples of problems)

说明：  电力系统潮流计算matlab牛拉法潮流计算(Niu Lafa Power Flow Calculation)

粒子群算法的matlab实现，自己写的，对初学者有一定帮助(good for learning)

本上传资料为maatlab教程，可通过此教程学习matlab，涉及面广。(The upload information to maatlab tutorials, available through this tutorial to learn matlab, involving a wide range.)

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)

说明：  注水算法：一个简单的注水算法，通常可用于功率分配等等。。。。。。(Water injection algorithm: a simple water injection algorithm, which can usually be used for power distribution and so on. . . . . .)

老师收集给我们的MATLAB编程教程，希望大家可以利用。(help you help me)