34ump-test-functions

非常好的MATLAB-KALMAN工具包，KPMstats is a directory of miscellaneous statistics functions written by Kevin Patrick Murphy and various other people(MATLAB-KALMAN very good kit, KPMstats is a directory of miscellaneous statistics functions written byKevin Patrick Murphy and various other people)

关于matlab的基本绘图命令的有关教程，比较容易学，感觉不错，同大家分享(On matlab command the basic drawing the relevant tutorial, more easy to learn, feel good, with everybody share)

说明：  宽带、窄带AR模型，对于不同的N,P,SINR的谱估计的对比分析(Broadband, narrowband AR model, for different N, P, SINR Comparison of spectrum estimation)

一种用于谐波分析的重采样方法，同过matlab仿真实现(For the resampling method of harmonic analysis, Matlab simulation to achieve the same over)

Avoid vehicle collision

正交频分复用技术的MATLAB软件模拟仿真(Orthogonal frequency division multiplexing of the MATLAB simulation software)

we will easily find out the agriculture region and man made region using hidden markov model

只需要使用Matlab 就可以播放 wave 檔.不需要Media Player或音樂撥放軟體.(Use Matlab to play wave file. This is an example to play 1k tones by using Matlab.)

MATLAB优化工具箱使用教程，含有具体应用与实例(MATLAB optimization toolbox tutorial, containing specific applications and examples)

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.)