Lab2

说明：  产生GOLD序列的主程序，和ss_mlsrs.m结合起来使用。(sequence generated GOLD program, and ss_mlsrs.m used in combination.)

this code is about k mean clustering in Matlab

用遗传算法求解函数最优问题，注释详细，过程详细，值得参考和学习，稍微修改能用于解答其他问题！(Function using genetic algorithm optimization problem, detailed notes, the process in detail, it is worth reference and learning, a slight modification can be used to answer other questions!)

MIMO-OFDM的matlab仿真，很好很强大，欢迎下载。(MIMO-OFDM the matlab simulation, very very strong, welcome to download.)

将2,4,8进制的DPSK信号的误码率曲线进行仿真，并将其放在一个图中进行对比(2,4,8-ary DPSK signal simulation BER curves, and placed in a graph comparing)

FIR滤波器的MATLAB程序,可用于算法仿真,非常有用.(fir filter matlab program,could be used to develop algorithm,veri useful.)

《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.)

本文是基于MATLAB的具有时延和丢包的网络控制系统的补偿控制分析研究(Predictive Control of Network Control System w ith Network Delay and Data PacketDropout)

用Matlab计算负折射率Fibonacci材料的能带(Calculated using Matlab Fibonacci materials with negative refractive index band)

说明：  运用该算法可以很方便的计算出各种计算参数的均值及数据的分类！(It works for multi-dimensional Euclidean distance.)