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说明：  用谢菲尔德遗传算法工具箱调试 DeJong 函数的说明(with Sheffield GA Toolbox debugging function DeJong Note)

两自由度比例前馈simulink模型，测四轮转向的质心侧偏角和横摆角速度(Two degrees of freedom ratio feedforward simulink model, measuring four-wheel steering center of mass of side-slip Angle and yawing angular velocity )

基于PCA算法（主成分分析法）的人来呢识别系统-Matlab 自己对之前的程序进行了修改，可直接运行(PCA based Face Recognition System)

关于模糊逻辑工具箱的具体应用，案例有源码，有详细的操作步骤，对初学MATLAB又想急于上手的尤其有参考价值！(About fuzzy logic toolbox of specific applications, case there is source, has detailed the steps, eager for the beginner-to-use MATLAB in particular want to have reference value!)

<精通MATLAB>根据这本书写的相应的运筹学里的源代码，都是最基本的算法，没有进行改进(<Proficient in MATLAB> According to this writing tacticians in the corresponding source code, are the most basic algorithm, no improvements)

一束5W 的线偏振光以Φ = 45 度方位角振动，垂直入射到玻璃 - 空气表面，该光束波长0.6μm，玻璃介质折射率1.54 @0.6m，当入射角θ从0-70 度变化时，通过给定条件，分别完成如下要求： 画出该光束反射光的光强曲线（I-θ）； 分析该反射光束的偏振态变化，画出偏振方向变化曲线（φ-θ）和偏振光束相位变化曲线 （Φ-θ）。 （注：光束从光密到光疏的界面，在入射角θ 从0-70 度变化中，包括了临界角θc）(Bunch of linearly polarized light 5W to Φ = 45 degrees azimuth vibration, normal incidence to the glass- air surface, the beam wavelength 0.6μm, glass refractive index 1.54 @ 0.6m, when the incident angle θ changes from 0-70 degrees By the given conditions, namely the completion of the following requirements: Draw the reflected light beam intensity curve (I-θ) analysis of changes in the polarization state of the reflected beam, draw the polarization direction of the curve (φ-θ) and polarized beam phase curve (Φ-θ). (Note: the light beam from the optical density of the interface is sparse, the incident angle θ  variation from 0-70, including the critical angle θc))

谱聚类matlab代码，聚类分析可用，内附简单实验及部分参考论文，代码可自行修改，精度可调(Matlab code for spectral clustering , enclosed a simple experiment, which can be modified. Accuracy of sigma is adjustable.)

用matlab实现算术编码，包含对数据的压缩和解压(Using matlab realize arithmetic coding, including the data compression and decompression)

AllSinc in Matlab software

project report_Prateek Bansal_adaptive loading for MIMOOFDM