basicieeecoop

离散论域模糊控制表的离线计算.已知单变量两维输入，一维输出模糊控制器，其两维输入为E，EC，一维输出为I，论域均为E，EC，I∈{-6，-5，-4，-3，-2，-1，0，1，2，3，4，5，6}，E的论域划分为{NB，NM，NS，NZ，PZ，PS，PM，PB}，共8个模糊子集(Discrete domain of fuzzy control table offline computing. Known univariate two-dimensional input, one-dimensional output fuzzy controller, the two-dimensional input of E, EC, one-dimensional output as I, on the field are E, EC, I ∈ {-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6}, E of the domain is divided into {NB, NM, NS, NZ, PZ , PS, PM, PB}, a total of eight fuzzy subset)

包括两个MATLAB程序，一个读取AVI视频，并转换成一帧帧图片；两一个程序读取图片，并把这些图片转换成视频。(Consists of two MATLAB program, a read AVI video, and convert it into a frame picture 21 program reads the image and put these pictures into video.)

说明：  PMSM起动仿真模型，双闭环控制，仅供参考。能够无位置传感器起动(PMSM Start Simulation Model)

基于压缩感知(应用匹配追踪算法)处理一维信号(MP compressed sensing using matching pursuit)

说明：  直接扩频源码，超级有用的哦，呵呵,一定要顶啊。哈哈(spread，very good)

说明：  对400幅灰度图像用分块PCA的方法进行压缩，进行通信时只用传输主元和特征向量。其中，pcaxiefangcha.m用于图像压缩，imresume.m用于图像恢复和部分图像的显示，chaweight.m用于绘制特征值比重-主元个数关系图，crdraw.m用于绘制压缩比-主元个数关系图，psnrdraw.m用于绘制总误差PSNR-主元个数关系图，psnrlocation.m用于绘制单幅图像误差PSNR分布图。(On the 400 block with a gray image compression method of PCA, to communicate only the main elements and characteristics of transfer vectors. Which, pcaxiefangcha.m for image compression, imresume.m parts of the image for image restoration and display, chaweight.m characteristic value for the draw weight- the main element number diagram, crdraw.m used to draw the compression ratio- the primary element number diagram, psnrdraw.m used to draw the total number of errors PSNR-principal component diagram, psnrlocation.m PSNR used to draw a single image error distribution.)

MATLAB 第三代多目标性能指标计算源程序，适合于较新的多目标智能算法比较(MATLAB source the third generation of multi-objective performance index calculation, suitable for a new multi-objective intelligent algorithm)

Matlab教程，很好用的全英文教程。对于学习matlab很有帮助。(the electric book for matlab ，it s usefull for the new to learn the matlab to refer to。)

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.)

這些程式是專門提供給Matlab5.0的使用者使用。 因為本程式影像處理方面的功能很多，但限於 Matlab5.0功能的關係，故分為兩大程式來使用。(These programs is specialized provided to Matlab5.0 users. Because this program Imaging deal functions lot, but confined Matlab5.0 functional relationship, so divided into two program to use.)