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Matlab 官方工具箱使用说明 buildgui图形用户界面设计手册.pdf(Official Matlab toolbox for use graphical user interface buildgui Design Manual. Pdf)

(2,1,2)卷积码链路仿真,采用viterbi译码算法,采用m语言编写,并非直接调用matlab内部函数,有助于对viterbi译码算法的理解((2,1,2) convolutional code link simulation using viterbi decoding algorithm using m language, not directly call matlab internal function, contribute to the understanding of viterbi decoding algorithm)

Convert from Lab to LCH.

这是讲述MATLAB中stateflow的知识，很有用处，需要的可以下载。(This is about the knowledge of MATLAB, stateflow, useful, and we need can be downloaded.)

COMMANDE D un convertiseur AC/DC 脿 deux niveaux par MLI

结构力学有限元分析Matlab代码，非常实用(Structural mechanics, finite element analysis of Matlab code, very useful)

此为模式识别中的Fisher线性判别方法求分类器。进行了男、女错误率和总错误率的统计。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本均值m1和内离散度S1； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本均值m2和内离散度S2； 3、求最佳变换向量和阀值点； 4、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 5、把最佳变换向量和阀值点、x代入判别方程g（x）； 6、对本判别的错误率进行统计。(This is the pattern recognition method, to calculate the Fisher linear discriminant classifier .Were male , female and total error rate error rate statistics . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the sample mean m1 x1 and internal dispersion S1 2 , read MALE.TXT file to height or weight to the array, and find the sample mean m2 and x2 within the dispersion S2 3 , for the best transformation vector and the threshold point 4 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 5 , the best transformation vector and the threshold point , x substituted into the discriminant equation g (x) 6 , determine the error rate of the statistics . )

自己用matlabgui设计的小程序，用于录入学生考试成绩(Designed small procedures to facilitate the entry of results)

tham khao mo phong ofdma

Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model.