svm

IMAQPLOT is a simple demonstration of previewing video data using the toolbox s TimerFcn callback. IMAQPLOT also allows users to integrate the video preview into any MATLAB GUI. These are capabilities that are present in the toolbox s PREVIEW command, but are presented here as a demonstration of TimerFcn callback. Using toolbox callback properties, you can configure a video input object to generate a live image plot display. Do you want a basic preview window created for you? Simply call: obj = videoinput( matrox , 1) obj.TimerFcn = @imaqplot obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj) Do you want to add a preview window to an existing GUI? Simply provide IMAQPLOT a handle to an image object and it will update it for you: obj = videoinput( dt , 1) obj.TimerFcn = {@imaqplot, hImage} obj.TimerPeriod = 0.1 obj.FramesPerTrigger = Inf start(obj)

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within the similarity between the largest category of the similarity between the smallest.)

解二维possion方程，利用pcg方法求解第一类边值问题(Solution the dimensional possion equation, using the pcg method for solving the First Kind Boundary)

用来求时间序列的分形盒维数，简单方便有效，亲测可用。(we can use this program to caculate the boxdimension.)

讲述matalb CUI设计的基本过程,每一个文件里都有相应的注释。(the basic GUI design for matalb，there is annotation in each file.)

ipv4过渡到ipv6的一些技术分析，希望对大家有用(ipv4 transition to ipv6 some of the technical analysis, hope for all of us)

Training process fo a second order neural network

说明：  蒙特卡罗马尔科夫链学习相关知识，了解马尔科夫和蒙特卡罗常用方法。(Markov chain Monte Carlo to learn relevant knowledge, understanding common Markov and Monte Carlo methods.)

对噪声图像进行均值，方差，峰度和偏度的计算并输出其数值(Noise images mean, variance, skewness and kurtosis computing and outputting the value)

matlab强跟踪滤波器STF源程序，附带论文说明(the matlab strong tracking filter STF source, with the paper demonstrates )