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Multi-Carrier Digital Communications Theory and Applications of OFDM Second Edition Multi-carrier modulation‚ Orthogonal Frequency Division Multiplexing (OFDM) particularly‚ has been successfully applied to a wide variety of digital communications applications over the past several years. Although OFDM has been chosen as the physical layer standard for a diversity of important systems‚ the theory‚ algorithms‚ and implementation techniques remain subjects of current interest. This is clear from the high volume of papers appearing in technical journals and conferences. Multi-carrier modulation continues to evolve rapidly. It is hoped that this book will remain a valuable summary of the technology‚ providing an understanding of new advances as well as the present core technology.

小m序列生成程序，可以生成32比特长度的小m序列并具有相对好的自相关特性(m sequence generate)

Open Core Protocol ( OCP ) TEXAS-Instrument(Open Core Protocol ( OCP ) TEXAS-Instrument)

signal to dq frame for single phasepwm rectifier which work in open loop for traction systems.matlab simulink modal is aasigned with it.

说明：  通过使用cdif的算法，实现对于不同信号的分选工作。(Through the use of CDIF algorithm, to achieve the separation of different signals.)

Diferent High pass Image Filters, as HoG, Laplacian

单极12脉冲的HDVC仿真模型系统，基于Matlab的。(The HDVC of the monopole 12 pulse)

说明：  MATLAB实现贪吃蛇游戏，鼠标控制，有源代码，可运行(MATLAB realization of Snake game, mouse control, source code, run)

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 Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF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)

this is a matlab SVM example