broadband-signal-line-antenna

使用matlab编写的crc循环码编译码仿真程序(Crc prepared using matlab simulation program coding and decoding of cyclic codes)

audio streaming source code

une listes des codes pour le traitement des images

在wuyufei的turbo码的基础上修改得到的多码率Turbo码仿真(multirate turbo code based on wuyufei s turbo code)

压缩包里是matlab三个著名工具箱的一些教程，包括gaot，BSheffield大学gatbs工具箱，matlab自带的gads，还有工具箱的安装方法。(Three well-known compression bag is matlab toolbox tutorials, including gaot, BSheffield University gatbs toolbox, matlab built-gads, there Toolbox installation.)

Full wave inverter for power electronics applications as wind trtansformation

理发店的服务过程仿真 一个理发店有两位服务员A和B顾客随机地到达该理发店,每分钟有一个顾客到达和没有顾客到达的概率均是1/2 , 其中60 的顾客理发仅用5分钟,另外40 的顾客用8分钟 . 试对前10分钟的情况进行仿真。(Service process simulation of a barber shop barber shop attendant A and B, there are two customers arrive at the barber shop randomly, every minute a customer arrives and there is no probability that the customer arrives are 1/2, where only 60 of the customers Barber five minutes, another 40 of customers with 8 minutes. trial for the first 10 minutes of the simulation.)

i am uploading some matlab source codes

最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。 费雪评分（Fisher评分） 围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox)

Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data. GUI is in Portuguese, but self-explanatory. English version will be provided soon.