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《MATLAB控制系统仿真与实例详解》一书的光盘源码。图书简介：本书详细地讲解了MATLAB 7.x的功能与相关操作以及MATLAB在控制系统中的仿真应用。本书内容包括控制系统仿真基础、MATLAB程序设计语言基础、控制系统理论基础、Simulink交互式仿真环境、控制系统建模、线性控制系统的分析与仿真、PID控制系统设计及仿真、最优控制系统设计、鲁棒控制系统设计、神经网络系统设计及其MATLAB实现、模糊控制系统设计和系统辨识。 (" MATLAB Control System Simulation and explain examples of" one-source book on CD-ROM. Book Description: This book explain in detail the function of the MATLAB 7.x and related operations and MATLAB in the control system simulation applications. The book includes basic control system simulation, MATLAB programming language basic, basic control system theory, Simulink interactive simulation environment, control system modeling, linear control system analysis and simulation, PID control system design and simulation, optimal control system design, robust control system design, neural network system design and MATLAB implementation, fuzzy control system design and system identification.)

该程序用于matlab读取ENVI标准格式文件，直接运行READFILE，选择需要打开的图像文件即可(The program for the matlab read ENVI standard format files directly run READFILE, select the desired image file can be opened)

mimo ofdm matlab file

这是一个用liblinear进行分类的例子，需要有liblinear环境(Using liblinear to do classification task)

MIMO Signals And Systems一书的Matlab程序。(MIMO Signals And Systems of a book on Matlab procedures.)

说明：  matlab实现EBMA, 通过HALF PIXEL的算法来实现对图像的压缩.(matlab implementation EBMA, by HALF PIXEL algorithm to achieve image compression.)

基于matlab的XYZ坐标转换YBC坐标的代码(XYZ conversion YBC)

用谐波小波对信号进行多层分解，提取信号特征量(Harmonic signal with multiple layers of wavelet decomposition, the volume of extraction of signal characteristics)

Even though the RAND functions can be useful for generating uniform random numbers, most of the time we will need to model various non-uniform distributions, such as the Normal, Lognormal, Exponential, Gama, and others. In fact, the Uniform distribution arises in a very limited number of applications, so the chances are our worksheet models will rarely deal with this distribution

递推的最小二乘算法的真实轨迹曲线、测量数据、跟踪曲线以及位置估计误差均值和标准差曲线(True trajectory recursive least squares algorithm curve, measured data, tracking curve and position estimation error of the mean and standard deviation curve)