montcarlomatlabcode

说明：  基于lms算法和rls算法的比较，主要针对基本的算法性能，收敛速度进行比较。(comparison between lms and rls)

DOA DOA estimation procedures, as well as the use of two classic MUSIC beamformi

偏微分方程有限元的数值解的matlab程序，具有较好的实用性，方便大家使用和参考。(Partial differential equations finite element numerical solution matlab program, with good usability, to facilitate the use and reference.)

4阶龙格库塔，定义法计算rossler系统lyapunov指数，结果比较精确！(4-order Runge-Kutta, defined method rossler system lyapunov index results more precise!)

digital processing in matlab

PSO与GA混合优化算法，可实现比单纯使用PSO或者GA算法更好的优化效果(PSO and GA hybrid optimization algorithm, can achieve more than a simple algorithm using PSO or GA optimization results better)

matlab code to remove background (assuming black as background)

说明：  《精通MATLAB7.0混合编程》系统地介绍MATLAB 7.0的混合编程方法和技巧。全书共分为13章。第1章和第2章介绍MATLAB的基础知识，第3章简要介绍MATLAB混合编程，第4章至第9章分别介绍几种典型的混合编程方法，包括C-MEX、MATLAB引擎、MAT数据文件共享、Mideva、Matrix和Add-in。第10章、第11章介绍MATLAB与Delphi和Excel的混合编程。第12章介绍MATLAB COM Builder，第13章以图像处理为例介绍了一个综合应用实例。 本书按混合编程的具体方法进行逻辑编排，自始至终用实例描述，每章着重阐述各种混合编程方法的实质和要点，同时穿插了作者多年使用MATLAB的经验和体会。本书既适合初学者自学，也适用于高级MATLAB用户，可作为高等数学、计算机、电子工程、数值分析、信息工程等课程的教学参考书，也可供上述领域的科研工作者参考。 这里是本书所有源码压缩包，内容详尽、实例丰富，包含MATLAB实例的源文件、函数/命令和注解以及程序实例。 ("proficient MATLAB7 mixed programming" system introduced in MATLAB 7.0 Mixed Programming methods and techniques. The book is divided into 13 chapters. Chapter 1 and Chapter 2 on the basis of knowledge MATLAB, Chapter 3 briefed Matlab. Chapter 4-Chapter 9, respectively introduced several typical mixed programming, including C-MEX, MATLAB engine, MAT data file sharing, Mideva, Matrix and the Add-in. Chapter 10, Chapter 11 and Delphi on MATLAB and Excel hybrid programming. Chapter 12 on MATLAB COM Builder, chapter 13 for image processing as an example of a composite application. The book by the mixed programming methods for the specific logic layout description throughout example, Each chapter focuses on a combination of programming and real elements, while full of the author's )

说明：  一个用于生产海宁窗的Matlab函数，谢谢(Haining, a window for the production of Matlab functions, thank you)

face recognition. to locate faces within a image