Matlab_Simulink

说明：  这个是MIMO-OFDM的仿真程序，还有对程序的注释以帮助读者理解程序(This is the simulation materials for MIMO-OFDM. And there are also some notes to help the readers to understand the codes.)

学习matlab的一本非常不错的电子文档 也是从别的网站下载的 希望对大家会有帮助

在matlab的环境中，根据各种算法提取到的信息来输入SVM分类器中进行训练(classify different various sorts of information in svm)

基本粒子群算法的一些英文资料，在此基础上衍生出了许多优化粒子群算法(Particle Swarm some English information derived on this basis, a number of particle swarm optimization)

matlab的小程序 比较简单 应用方便(matlab relatively simple applications of small programs to facilitate)

This software is provided free of charge. As such, the authors assume no responsibility for the programs behavior. While they have been tested and used in-house for three years, no claim is made that biased ARTMAP implementations are correct or bug-free. They are used and provided solely for research and educational purposes. No liability, financial or otherwise, is assumed regarding any application of biased ARTMAP.

Matlab files(mfiles) for solve the second order two variables equation there are 3 ways of solving double equaiton first, fivotting second, Gauss - Matrix third, Using Circles which have meeting points

说明：  北京航空航天大学欧老师高等光学仿真书籍源代码，MATLAB语言编写。(Beijing University of Aeronautics and Astronautics Ou teacher advanced optical simulation book source code, MATLAB language.)

不平衡电网条件下，逆变器根据并网准则的要求，需要不脱网运行，并提供无功支撑。本仿真实现了不平衡条件下的逆变器低穿运行，并实现在故障后快速的功率回复(Under unbalanced grid conditions, the inverter according to the guidelines and requirements of the network, you need not run off the network, and provide reactive support. The Simulation of the inverter under unbalanced conditions, low wear operation, and after the failure to quickly realize the power of reply)

说明：  出效果 图，大大提高工作学习效率，对于工程应用和图像处理教学方面有着非常好的辅助性作用，下阶段的任务就是把图像处理的主要技 术方法系统地用MATLAB 实现，从而建立起一套基于MATLAB 的图像处理试验平台，为相关行业的工作学习技术人员提供有效的 参考工具。 本文作者创新点：本文提出了基于MATLAB 的图像处理功能解决图像处理技术一系列理论方法的实现途径，为快速高效实现 图像处理各种效果提出了行之有效的解决方法。 参考文献： [1] 张博夫,梁凯琦.MATLAB 环境下的数字图像处理入门实验[J].现代教育技术,2007,6(2):37-39. [2] 胡学龙,许开宇.数字图像处理[M].北京:电子工业出版社,2006. [3] 何东健.数字图像处理[M].2 版.西安:西安电子科技大学出版社,2008. 李昕等：基于MATLAB 的数字图像处理 1981__ (Evaluation[J].IEEE Trans.On Pattern Analysis and Machine Intelligence,1998,20(8):777-788. [5] Candela G T, Gtother P J, Watson C I, et al. NISTIR 5467, PCASYSA Pattern-lever Classification Automation System for Fingerprints [R].1995. )