MATLAB-language-commonly-used-

matlab code for beginers

一款比较新的绘图软件的电脑书籍，比MATLAB更容易实现(A relatively new mapping software to computer books, is more easily achieved than in MATLAB)

蔡氏电路仿真，产生混沌特性，双漩涡吸引子(Chua s circuit simulation, resulting in chaotic, two-vortex attractor)

说明：  挠性转子的平衡原理是建立在弹性轴（梁）横向振动理论的基础上，其动平衡原理为：挠性转子在任意转速下回转时所呈现的动挠度曲线，是无穷多阶振型组成的空间曲线，其前三阶振型是主要成分，振幅较大，其他高阶振型成分振幅很小，可以忽略不计。(Flexible rotor balancing principle is based on the elastic axis (beam) on the basis of transverse vibration theory, the balancing principle is: flexible rotor turning at any speed when the deflection curve presented is composed of infinite number of vibration modes space curve, the first three modes is the main component, the larger the amplitude, the amplitude of the other components of higher modes is very small, can be ignored.)

CT投影数据模拟程序,生成CT的投影数据，十分有用，附说明pdf(Projection simulation)

matlab制作散斑图的程序，可以在窗口输入散斑大小和密度(speckle pattern produced matlab program, you can enter the speckle size and density in the window)

this code can segment class using kmeans

线性调频和巴克码联合调制的脉压雷达整个信号处理过程，包括信号的产生和调制，解调，MTD，MTI等过程，非常适合毕设仿真！(Linear frequency modulated pulse compression radar and barker code modulation of the signal processing process, including signal generation and modulation and demodulation, MTD, MTI process, such as simulation is very suitable for you)

用于文本语义分析的潜在语义分析算法LSA(Latent Semantic Analysis)，包含详细的函数说明，原理分析及数据。相比原来版本的LSA，增加了文件demo.m以增加可视化效果，更有利于读者使用。(-Semantic Analysis for Text of Latent Semantic Analysis Algorithm LSA (Latent Semantic Analysis), contains a detailed description, principles of function analysis and data. Run demo.m can see the visualization effect.)

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 Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF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