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本书是直接针对MATLAB初学者，目的也不是教专家使用 MATLAB去解决复杂问题，相反，本书是介绍给MATLAB新人，使他们进入数学计算世界。这里要介绍的是使用MATLAB去解决某些基本问题——绘函数的图形、解代数方程、计算积分和解微分方程，所以要本书的例子较简单，针对新手。如果你以前从没接触MATLAB，或者是在使用MATLAB有很多疑问，那么本书将帮助你学得一些基本技巧，使用它们你将能够掌握MATLAB。本书仅是掌握MATLAB的垫脚石。 (MATLAB This book is directly aimed at beginners, the purpose is not to teach experts use MATLAB to solve complex problems, the contrary, this book is to introduce newcomers to MATLAB to enable them to enter math in the world. Here we introduce is the use of MATLAB to solve some fundamental problems- painted graphics functions, solve algebraic equations, calculation of integral equation of reconciliation, so the book' s examples of relatively simple, for the novice. If you' ve never contacted MATLAB, or the use of MATLAB has a lot of questions, then this book will help you learn some basic skills to use them you will be able to master MATLAB. This book is only a stepping stone to master MATLAB.)

MPLAB_IDE中文资料 中文介绍 MPLAB_IDE(MPLAB_IDE Chinese Information Chinese Introduction MPLAB_IDE)

刘利生所著外弹道测量数据处理一书的电子版，比本站版本更为清晰的版本。(Exterior ballistic measurement data processing，author liu li sheng,2001.)

SMRSOFT: a Matlab Toolbox for Optimization over Polynomials and Dynamical Systems Study via SOS Programming.(SMRSOFT: a Matlab Toolbox for Optimization over Polynomials and Dynamical Systems Study via SOS Programming. Available at )

Stable adaptive fuzzy control for MIMO non linear systems 2011

这是一份关于matlab曲线拟合的文章，供大家学习~~180K(This is an article on the matlab curve fitting for them to learn ~ ~ 180K)

适合MATLAB初学者进行GUI学习，包括了李显洪《Matlab7.x界面设计与编译技巧》,精通GUI图形界面编程(MATLAB),MATLAB_GUI设计学习手记,GUI制作1,2(MATLAB GUI for beginners to learn, including Li Xianhong " Matlab7.x interface design and build skills," proficient in GUI graphical interface programming (MATLAB), MATLAB_GUI design learning Notes, GUI making 1,2)

混合编程matlab与C#,帮助你学习混合编程(matlab and C# hybrid programming)

比较了软阈值，硬阈值及当今各种阈值计算方法,高斯白噪声的生成程序，未来线路预测,分析误差。( Comparison of soft threshold and hard threshold and today various threshold calculation method, Gaussian white noise generator, Future line prediction, error analysis.)

水印抗攻击：由高斯正态分布序列 g1 产生 36×4 的水印信号 w0，w0 由(0,1)组成。(Watermark against attacks: from the Gaussian normal distribution generate 36 × 4 series g1 watermark signal w0, w0 from (0,1) component.)