phasedifference

进行雷达测速的频谱分析，主要是对实际信号分析得到多普勒频率，进而求出车运行的速度(Spectrum analysis of radar speed。The Doppler frequency of the actual signal analysis, and then calculate the running speed of the car)

一种多目标差分演化算法的例程，可以自己添加目标函数(A multi-objective differential evolution algorithm routines, you can add your own objective function)

利用MATLAB制作合成音乐播放，可以作为GUI插入的背景音乐，歌曲为一闪一闪亮晶晶，供给初学者参考(Using MATLAB to make synthetic music playback, can be used as a GUI insert background music, songs to twinkle twinkle little star, to supply reference for beginners)

本文件提供了在线的雷达数据导入IPIX matlab算法，主要是用于验证目的,包括导入程序和IPIX雷达数据下载地址，做SAR和图像遥感的必备资料。(This document provides the online radar data import the IPIX matlab algorithm for authentication purposes, including import procedures and IPIX radar data download address, must do the SAR and images of remote sensing.)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

hmm toolbox for image processing

《微型计算机原理》计算机各专业课程教学大纲，包含实验教程，十分有参考价值(" Computer Principles" computer syllabus of professional courses, is a reference value)

说明：  用MATLAB模拟静态散斑，成像和非成像散斑，方便初学者学习(Simulation with MATLAB static speckle, speckle imaging and non-imaging, easy for beginners to learn)

压缩感知的各种经典还原算法，BP,OMP，CoSaMP，LP等等。(Compressed sensing a variety of classical reduction algorithm, BP, OMP, CoSaMP, LP and more.)

一个智能天线处理程序源码，能有效提高算法性能，很实用。(A smart antenna processing source code, can effectively improve the algorithm performance, very practical.)