DS_CDMA

应用MATLAB基于元胞自动机的气体动力学仿真(Gas dynamics)

计算机视觉matlab工具箱 里面包含大量计算机视觉的matlab函数(computer vision )

有关于囚徒困境博弈matlab的源代码，代码时基于复杂网络写的，能够得出有效的结果。(About the prisoner' s dilemma game matlab source code, when the code is based on a complex network to write, can obtain valid results.)

通过simulink控制并仿真小车，实现避障(By simulink control and simulation car, realize obstacle avoidance)

线性系统根轨迹法在matlab环境下的实例与分析应用(Root locus method in linear system matlab environment and analysis of application examples)

《空间谱估计理论与算法》一书中提到的cbf波束形成算法的源代码，是较简单的源代码(" Spatial spectrum estimation theory and algorithms," a book mentioned in cbf beamforming algorithm source code, is relatively simple source code)

说明：  直流电机启动模型，自己做的，可以交流作业用(dc start)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

Simulink动态仿真中Stateflow建模存在问题(Simulink dynamic simulation modeling problems in the Stateflow)

ddd Coastal Land Use/Land Cover maps and Coastal Regulation Zone map on 1:25,000 and 1:50,000 scales derived from satellite data were collected from State Coastal Zone Management Authorities and enlarged into 1:12,500 scale. The georeferenced maps were digitized in ARC-INFO GIS. Digitized maps were edited, labeled and a layout was prepared. The area statistics of different Ecologically Important Areas were generated and presented in the maps.