QPSK

一个实用的在数值计算中计算积分的Newtoncotes方法的m文件，包含n从1到7的常用情况(A practical calculation in numerical methods of integration Newtoncotes m file that contains the n from 1 to 7 common situation)

清晰易懂的MATLAB学习资料，描述了如何使用MATLAB解决各种实际问题(Clear and understandable information to learn MATLAB, describes how to use MATLAB to solve practical problems)

matlab的simulink的简单介绍和一些例子，适合初学者(the matlab simulink the brief and some examples, suitable for beginners)

自编的奇异值分解消噪程序，在消噪的同时可实现对不同频率信号分量的分离。(Own the singular value decomposition de-noising procedure, de-noising can be achieved at the same time on different frequency signal component separation.)

说明：  matlab code for spread spectrumusing M george algo

this is a file related to matlab simulation for OFDM system over additive white gaussian noise channels

matlab example psmsm

基于遗传算法的函数优化，利用遗传算法求出目标函数的最优值，适合初学matlab和遗传算法的学者下载学习。(The function of the genetic algorithm-based optimization, using genetic algorithms to determine the optimal value of the objective function, suitable for beginners of Matlab and genetic algorithm scholars download learning.)

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)

Adhoc networks simullations for a thesis project in my master degree