all-the-image-functions-of-matlab

里面包含了大量的matlab的应用实例，对初学者来说非常有用(Which contains a large number of matlab application, is very useful for beginners)

how to create sin signal in matlab

Learning Automata Algorithms A collection of machine learning programs which contains some of Learning Automata algorithms such as Tsetline, Krinisky, Krylov, LRI, LIP, LRR, LReP, SoftMax, SampleAverage and Random strategy. All of these developed in MATLAB 6.5

turbo码的matlab仿真程序，仅供参考，希望对您有用(turbo codes matlab simulation program for information purposes only, hope useful to you)

MATLAB智能算法30个案例分析源代码(30 intellengce algorithms of matlab )

基于MATLAB中M文件编写的BP神经网络控制一阶惯性环节加大时滞系统程序(Written in MATLAB M-file based on BP neural network control to increase the delay part of the first-order inertial system program)

这是一个指纹识别的matlab代码，用gabor滤波器处理的。(This is a fingerprint recognition matlab code processed using gabor filters.)

说明：  一本关于卡尔曼滤波器的英文文章的翻译版本，介绍的很详细具体，而且是翻译版本，读起来很方便。(A Kalman filter on the translation of the English version of the article, described a very detailed and specific, but also translation, easy read.)

it is the matlab code for rayleigh fading

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.)