matlabcode

该书是关于matlab与通信的一个结合，适合对matlab有一定基础的人，有详细的讲解，实例还有很多代码解说、分析。(The book is about matlab and communication of a combination, suitable for a certain foundation of matlab, a detailed explanation, examples and a lot of code interpretation and analysis.)

针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected by particle swarm optimization before SVM classification. The results of the two classifications are compared and analyzed.)

说明：  程序使用说明 1、所有仿真算法按章归类，文件中的程序名与书中一一对应。 2、将仿真程序复制到硬盘MATLAB运行的路径中，便可仿真运行。 3、本书算法在MATLAB 5.3版下运行成功，并适用于其他版本。 4、程序chap1_11.mdl；chap3_2.mdl；chap3_5.mdl；chap6_2.mdl；chap6_4.mdl需要在Matlab6.5下运行，特此说明。 5、假如您对仿真程序有疑问，请及时通过 E-mail 与作者联系。 北京航空航天大学 刘金琨 E-mail 地址： ljk@dept3.buaa.edu.cn或ljk@buaa.edu.cn(Program instructions 1 All simulation algorithms are classified by chapter, and the program name in the file corresponds to that in the book one by one. 2 Copy the simulation program to the Matlab running path of the hard disk, then the simulation can run. 3 The book algorithm in Matlab version 5.3 run successfully, and suitable for other versions. 4 Program chap1.11.mdl; chap3.2.mdl; chap3.5.mdl; chap6.2.mdl; chap6.4. MDL needs to run under MATLAB6.5. 5 If you have any questions about the simulation program, please contact the author by e-mail.)

滑移率的模拟,应用simulink实现的程序(simulink of U)

template for a technical paper

PRTools4 A Matlab Toolbox for Pattern Recognition

说明：  通过em算法实现对数据的高斯混合模型的分类(Em algorithm through implementation of data Gaussian mixture model classification)

Writes a mesh to a ply file (text format) wich can be read by PlyView from Cyberware and Scanalyze from Stanford University. Both are available for free

清华大学出版社出版MATLAB7.0教程 孙祥，徐流美，吴清主编(Tsinghua University Publishing House MATLAB7.0 tutorial Sun Xiang, Xu stream America, Wu Qing editor)

相空间重构相关代码,使用重构相空间捕捉非线性特征。(phase space reconstruction.This toolbox contains Matlab functions to capture the nonlinearities of the speech production system using reconstructed phase space (RPS) techniques.)