matlab-camera-interface-code

有一个长直金属接地板，侧壁与地面电位为0，用有限差分求槽内电位分布(A long straight up, wall and floor of metal surface potential for 0, with finite difference for slot potential distribution)

线性离散系统的分析与校正，程序注释清晰易懂，内容涵盖线性离散系统的全部内容(Linear discrete system analysis and correction program comments are clear and easy to understand, and covers the entire contents of the linear discrete system)

discrete fourier transform low high pass filter. in matlab The following Matlab project contains the source code and Matlab examples used for discrete fourier transform low high pass filter.. function [g] = FFTPF1D (X,binsize, f, P) Discrete Fourier Transform Low/High Pass Filter. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

压缩感知的贪婪迭代算法，算法使用最小二乘估计来重构信号(Greedy iterative algorithm compressed sensing algorithms to reconstruct the signal using a least squares estimation)

扩展INFOMAX算法是盲源分离算法中极大似然估计的一种扩展，功能更强大。(The extended INFOMAX algorithm is an extension of the maximum likelihood estimation in the blind source separation algorithm, and the function is more powerful.)

说明：  计算互信息，函数内提供注释，各位可以仔细阅读，欢迎各位下载。(calculate mutual information)

实现AM信号的输入以及相干解调前后的比较(The realization of the input AM signal, as well as compare before and after coherent demodulation)

三相并联型APF，利用ip iq谐波电流检测方法对非线性负载的谐波电流进行补偿(Three-phase shunt APF compensates harmonic current of nonlinear load by IP IQ harmonic current detection method)

采用遗传算法及改进的遗传算法进行配电网故障的定位 (Genetic Algorithm algorithm for fault location of distributionnetworks)

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 Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF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