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偏微分方程的MATLAB解法,非常详细，可以学习(MATLAB Solution partial differential equations, very detailed, can learn)

bp网络用于设备故障预测，自己写的，不知道能不能给别人以帮组(bp Network equipment failure prediction, wrote it myself, I do not know to be able to help other people Group)

robocup 2d 仿真足球base代码(the robocup 2d simulation Soccer base code)

有源逆变电路，传统boost升压电路，控制电路实现了uc3854的功能电路！(Uc3854 functional circuit!)

说明：  induction motor simulation using s-function.real tim/e

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 )

genetic algorithm based on matlab，The Genetic Algorithm (GA) is a good method to solve optimization problems. Genetic algorithms are search and optimization methods based on natural evolution. They consist of a population of bit strings transformed by three genetic operators: selection, crossover and mutation

本程序是自己编写的ca码matlab产生程序，希望在此能够给与大家共享(This program is ca matlab code to generate their own written procedures, we hope to be able to give this share)

雅克比迭代求解线性方程组课设,BP神经网络用于函数拟合与模式识别，应用小区域方差对比，程序简单。( Jacobi iteration for solving linear equations class-based, BP neural network function fitting and pattern recognition, Application of small area variance comparison, simple procedures.)

有直接序列扩频的所有部分。怎么这么麻烦啊！上传个代码！(Are all part of the direct sequence spread spectrum. How much trouble ah! From a code!)