Aufgabe5

matlab例程，非常好用，便以移植,bianyuxuxi(susan Algorithm is very easy to use, then to transplant)

说明：  lms algorethem update

RFS filter bank, by zisserman and group

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.)

super code for matlab endpoints

说明：  模式识别工具包，matlab编写，非常好用哦。(Pattern Recognition Toolkit, matlab prepared, very easy to use, oh.)

计算分数阶傅里叶变换，为一维的。是Pei/Yeh/Tseng的源码。(Compute discrete fractional Fourier transform of order a of vector f according to Pei/Yeh/Tseng)

BP神经网络的改进应用Improved BP neural network(Improved BP neural network)

svpwm code in matlab

用matlab进行图象的过滤处理，其中包括噪声中值均平自适应的过滤(For image filtering using matlab)