信号可控的可变旋转阻尼器

IEEE 802.15.3a UWB信道模型仿真，(IEEE 802.15.3a UWB channel model simulation,)

说明：  本程序适用于一阶超静定问题，是一种三赶简单问题.(This procedure applies to first-order indeterminate problems is a three time for simple questions.)

antenna system using matlab

基于遗传算法的支持向量机的程序源码，可以用于基于遗传算法支持向量机分类的参数估计问题。

CCDF_PAPR_DFTspreading OFDM系统对DFT扩频的PAPR性能仿真，性能参数为CCDF

在DAB系统中的频率同步，载频同步，参考一下Carrier frequency offset estimation of DAB receiver based on phase reference symbol(In the DAB system frequency synchronization, carrier frequency synchronization, refer to Carrier frequency offset estimation of DAB receiver based on phase reference symbol)

lear N = 10^5 EB_NO = [-1:30] liu1 = zeros(1,N) liu2 = zeros(1,N) for ii = 1:length(EB_NO) m= (2*(rand(1,N)>0.5)-1) + j*(2*(rand(1,N)>0.5)-1) s = (1/sqrt(2))*m normalization of energy to 1 n = 1/sqrt(2)*[randn(1,N) + j*randn(1,N)]

很好用的，生成归零码的程序，速度快， (R-Z code )

IEEE 2013 base papers on power electronics

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.)