MATLABDigitalImageProcessing04[zhangdefeng][soucec

用蒙特卡洛法实现对排队等待问题的计算机模拟 (Monte-Carlo method to realize the problem of computer simulation of waiting)

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.)

一个matlab中读取excel文件的例子，并且以plot的形式显示(read a document excel example, and to demonstrate the plot)

Multi User Scheduling and Interference system

FUZZY logic controller toolbox in Simulink

一本电子TCL语言教程，可为学习OPENSEES提供方便，其他有两个为调用ABAQUS的源程序UVMAT，另外两个是求解动力问题的matlab程序(An electronic TCL language tutorials, can provide convenient for learning OPENSEES, there are two other for invoking UVMAT source of ABAQUS program, the other two is to solve the dynamic problem of the matlab program )

Examples of Matlab code

Read a file into a matrix and display it on the screen using the MATLAB commands imagesc and axis.

First takes the last selected image Calls the images from database Applies PCA to images Compares the last selected image with database images and says if it is found at the database or not.

embed for watermarking