OFDM

基于时隙aloha的防碰撞改进算法,效率很高哦，希望对大家有用(ALOHA anti-conclusion alogrithm dddddd)

OFDM信号具有高峰均功率比的特点，研究交织技术在抑制OFDM信号峰值平均功率比（PAPR）中的应用。论文首先阐述了OFDM的基本原理和关键技术，简单介绍了目前降低PAPR的几种方法，在对交织法降低OFDM系统的PAPR进行理论分析的基础上，提出了一套合理的交织方案――利用分组交织器和伪随机交织器降低PAPR，最后通过MATLAB仿真得出结论。(OFDM signal has a peak to average power ratio characteristic of interwoven OFDM technology in the inhibitory signal peak-average power ratio (PAPR) of the application. Thesis first expounded the basic principles of OFDM and key technologies, the simple introduction of the current of several methods to reduce PAPR, intertwined in the law to reduce PAPR of OFDM system, the theoretical analysis, based on a set of reasonable intertwined programs- use Packet interleaver and the pseudo-random interleaver to reduce PAPR, the final conclusion through MATLAB simulation.)

说明：  灰常经典的边缘检测代码，在图像处理中，必须要掌握(Gray often classic edge detection code in the image processing that must be mastered)

C语言与MATLAB接口：编程与实例，实现接口Matlab与C语言编程互换(C language and MATLAB interfaces: programming with examples, the interface with Matlab and C programming language swap)

matlab 神经网络工具箱 gaot 所有的文件 直接放到matlab 路径 toolsbox 下就行(matlab neural network toolbox gaot all the files on the line directly into the the matlab path toolsbox under)

近年来，逆散射已经成为非常热门的话题，在这里我提交一个music算法的matlab例程，供大家参考。(In recent years, inverse scattering has become a very hot topic. Here I submit a matlab routine of music algorithm for your reference.)

保证可用的，希望好评！！！HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以（也是本网站下载代码，但是原始的作者故意改错一些地方，我已经一一修正，完全可以运行；没有SVM工具箱的，压缩包里已经提供了，安装一下即可） (HOG+SVM pedestrian detection)

matlab教学用书 Edward Neuman 版本(matlab version of teaching the book Edward Neuman)

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)

在汉明失真测试下，matlab画出二元对称信源的信息率失真函数曲线(Under the Hamming distortion test, matlab draw a binary symmetric source of information rate distortion function curve)