很好的SvmPcaKnn的数据分类MATLAB程序

雷达系统仿真，发射信号为13位巴克码和线性调频混合调制的信号(Radar System Simulation, firing signal for the 13 Barker code modulation and linear frequency modulation of mixed signal)

Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化(Levenberg-Marquardt optimization homography can also be modified for optimization of camera calibration parameters)

logique floue avec Matlab

这是一个使用双馈异步电机的并网风电场的仿真模型。(This is a double-fed asynchronous motor and simulation models use wind farms.)

风力发电系统的不控整流+buck/boost电路控制模型(mdl of wecs using uncontrolled rectifier and buck/boost cuicits)

电力电子的仿真专用编程软件语法教程，介绍了saber电力电子仿真软件的编程规则(Grammar Course of Simulator Programming Software for Power Electronics)

matlab入门经典教程--百看不厌1.rar(Getting Started tutorial matlab classic- never lost their appeal 1.rar)

说明：  通过本程序，可以将地震数据由ibm格式转为ieee格式，(form seisdate form ibm to ieee )

计算滑动轴承滑动效率和受的摩擦力，并绘制出曲线(Calculation of efficiency and by the sliding bearing sliding friction, and draw out the curves)

这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。(This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets.)