xiebo

VC维理论和结构风险最小化准则是统计学习理论中的重要内容,基于这一理论的支持向量机算法由于具有好的泛化性能受到重视,并被研究用于文本分类问题.基于多项式核的研究工作认为SVM的泛化能力不受多项式阶数的影响,并且能够处理很高维的分类问题,用于文本分类无需进行特征选择.研究发现,随着多项式核阶数的升高,SVM文本分类器会出现过学习现象,并且特征数越多越明显,特征选择是必需的.通过估计函数集的VC维,基于结构风险最小化理论对此问题进行分析,得出的结论跟实验结果相符. (err)

光学工具编程，利用MATLAB对光学中的各种应用编程(Optical tools programming, the use of MATLAB in a variety of optical application programming)

说明：  自己做的matlab的实现FUZZY和PID控制互相切换的仿真!!(Matlab own realization of the FUZZY and PID control to switch the simulation with each other!!)

高阶谱估计的函数方程,很有用处,也是用于检测被高斯信号淹没的信号(higher order spectral estimation function equation, useful, as well as for detecting submerged by the Gaussian signal signal)

数字信号处理--理论与实践 王大伦 数字信号处理--理论与实践 王大伦(Digital Signal Processing- Theory and Practice Wang Tailun)

主成分分析并用散点图分析前三个主成分M代码，请指教。(Principal component analysis and scatter analysis of the first three principal components M code, please advice.)

这个是关于matlab的，里面有matlab的大量可供参考的案例，还有几个ppt也是这方面的，比较好，分享给大家。(This is mainly the MATLAB language and control system simulation, there are a large number matlab reference case, there are a few ppt is in this respect, better, to others.)

此程序是在MATLAB下进行图像配准，通过归一化互相关来确定图像配准的区域。(This program is for image registration in MATLAB, by normalized cross-correlation to determine the image registration area.)

基于DFT的信道估计，采用线性或样条插值的LS或DFT信道估计(Channel estimation based on DFT, the use of linear or spline interpolation LS or DFT channel estimation)

1.本书包含的实例所使用的源程序清单，文件夹第3章～第7章分别包括各章节内的实例源程序。 2.源程序文件名与所在章节和实例序号对应，如：3_1.m为第三章实例一【例3_1】的源程序。 3.文件夹tftoolbox为2002版的时频工具箱，第六章“非平稳信号分析与处理”需要用到该工 具箱的部分函数。请将其拷贝到用户的MATLAB工作路径（如D:R2006awork） 4.各章节的M文件已在MATLAB R2006a环境下调试通过，拷贝到用户的MATLAB工作路径（如 D:R2006awork）下即可运行。(1. This book contains examples of source code used in the list of folders in Chapter 3 ~ Chapter 7, respectively, including the section within the source code examples. 2. Source file name and serial number where the corresponding chapters and examples, such as: 3_1.m for example Chapter 1 3_1】 【Example of the source. 3. Tftoolbox folder for the 2002 version of the Time-Frequency Toolbox, Chapter VI, " Non-stationary signal analysis and processing" required to use part of the toolbox functions. I would be grateful if a copy job to the user' s MATLAB path [such as D: R2006a work] 4. Of all sections of M are available at MATLAB R2006a debugging environment through, copy to the user' s job MATLAB path [such as D: R2006a work ] to run under.)