power_1phPWM

experiment with biomedical signal processing- basic techniques

附件中的pdf文件是韩国作者08年在Automatica上发表的文章。本代码给出了文章中定理1的线性矩阵不等式的求解程序，通过给定不同的a来求解最大的b,进而得到界定时滞系统的最小的椭圆。(Attached pdf file of 2008 in South Korea articles published in Automatica. This code is given in Theorem 1 article LMI solver through a given different to solve the biggest b, then get the minimum of delay systems defined ellipse.)

GUI with Matlab，including basic graphics, animation, handle graphic objects, creating GUI using Guide(GUI with Matlab)

This Function Calculates The Difference of Gaussian for SIFT feature detection input parameter definition 1. Pyramid=image 2. NumOfLevel=levels to be calculated 3. InitSigma=initial variance of Gaussian

cyclic autcorrelation AM signal Dsbsc

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.)

基于线性判别的人脸识别，本设计对主成分分析和线性判别两种子空间方法进行了深入研究，包括LDA及其在人脸识别应用的若干问题(Face recognition based on linear discriminant, the design of the principal component analysis and linear discriminant subspace methods are two in-depth study, including the LDA and its Application in Face Recognition Issues)

Sparse Fuzzy Model Identification Matlab Toolox – RuleMaker Toolbox

适合matlab初学者的好资料，经典的100个实用编程例子，很好很强大。(Good information for matlab beginners, classic 100 practical programming examples, very good very strong.)

Code about color detection