HOG

explanation of m/m/1 in matlab

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)

基于matlab平台的水平集图像分割,用于对图像边缘进行分割。(levelset image segmentation based on matlab)

不分集、STBC编码与最大比合并性能比较(Regardless of set, STBC coding and maximal ratio combining performance comparison)

C++ taxi management system

蒙塔卡洛方法求pi值的计算方法，通过分布在立方体和其内切球内的随机点数计算得出(Monte Carlo computation of pi)

model to the fixed wimax physical layer including adaptive coding and adaptive modulation and can tarsmit on ofdm or MIMO ofdm

利用matlab开发平台和相关的SVM优化工具箱,及OAO,OAA,BSVM2算法模型,设计改进并实现非线性的模式分类实验模型系统.(Matlab use development platform and related optimization toolbox of SVM, and OAO, OAA, BSVM2 algorithm model, designed to improve and to achieve non-linear model of the pattern classification system.)

能够从磁盘中读入指定格式的视频图片； 比如bmp,jpg,png,gif(This method can load the inmage which given format from disk .)

matlab经典算法之绘图，PPT讲义可对照程序进行学习(classical algorithm matlab graphics, PPT handouts control procedures may be learning)