SmilRegionMediaElementImpl

Matlab code for Galois field

10组图论编程，自篇只做参考，望您看后帮助修改(programming, since the only reference to chapter, you do look after the changes help)

Simulink. Dynamic System Simulation for MATLAB. aka "Using Simulink". This is the book about Modeling, Simulation and Implementation with Simulink package.

说明：  一个简单的卡尔曼滤波代码，matlab编写，供初学者借鉴(A simple Kalman filter code, matlab prepared for beginners learn)

Program for ofdm and its BER performance

本书第一章系统讲述 MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。 第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、MATLAB 交互的功能。(This book first chapter of system narrated that the MATLAB6.5 integration working platform, guides the reader first meeting MATLAB essential usage. Second, third chapter of system narrate the MATLAB6.1 four big basic data type (value array, string of character array, structure cell array, skeleton array), as for other expansion data type (function handle, mark data, internal integration function, the unit array, sparse kind) in addition wards off the chapter to state specially. Hereafter, this book with nine independent Zhang Fenshu MATLAB6.5 numerical calculus, the mark computation, the function and the data visible, the object-oriented programming, GUI operates the contact surface design, the EXE independent application program generation, to realize different software platform interactive API, the M-book data graph writing environment integration alternately and so on eight big general functions. This book expounds the SIMULINK lamination modelling, the simulation function with prof)

Single-Phase to Three-Phase Universal Active Power Filter

Digital Signal Processing, developped in matlab short examples for processing

说明：  一种简单的灰度图片的匹配方法，是有自己编写(A simple gray scale image matching method is to prepare its own)

Hard Iterative Thresholding Sparse Signal Reconstruction for Compressive Sensing L0-norm Minimization