FC_book_files

用MATLAB语言根据成形滤波器法实现通信环境中的瑞利信道的仿真(Realization of Rayleigh channel communication environment using MATLAB simulation language based on shape filter)

雷达对抗原理 单脉冲测角 文档 源代码 matlab编程(matlab )

matlab 英文书籍,影印版，非常使用的教你一步一步的学习如何用matlab编程的，适用于双语教学(matlab programming for engineers,useful,powerful and easy)

harris角点检测，并对检测的角点用NCC进行匹配(harris corner detection, and detection of the corner points are matched with NCC)

importannt orogram for frft

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.)

关于OFDM的matlab仿真，调制、解调以及误码分析(On the OFDM simulation, modulation and demodulation error analysis)

卡尔曼滤波模型的模拟范例 注释相当明确 适合初学者(KALLMAN FILTER)

PCA和KPCA，对于故障检测与诊断有很好的监控效果，希望对你有很大用处(PCA and KPCA, for fault detection and diagnosis have a good monitoring of effects to be useful for you)

车辆巡航自动控制，采用输入状态线性算法，车辆模型为非线性模型(vehicle cruise control, input-state linearization, nonlinear vehicle model)