clear-all

This program uses the waterfilling to compute capacity

神经网络Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the (Neural Networks Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicators, utlizing the nearest neighbor method to establish the Using the classification of brewing grape of the second question, and the combination of wine and grapes between common physical and chemical indicator)

波浪模拟环境，M文件+S函数+simulin仿真图.(Environmental wave simulation, M file +S functions +simulin simulation map.)

matlab音乐生成文件生成一个wav格式的音乐(matlab generate music files it is very easy)

说明：  详细的介绍了matlab的基础应用，方便易学 ，希望能给大家带来方便。(Matlab in detail the basis of the application, to facilitate easy to learn, we hope that they will be convenient.)

SeismicLab中的SEGY软件包，包括地震SEGY数据的读入和写出，道头信息的提取，置空道头等功能。(SeismicLab matlab code. SEGY data read and write. Trace header extract. )

天线选择的参考资料，初学者必备！很有用的哦！(Reference antenna selection, beginners must have! Oh, very useful!)

matlab code for finding corner points assignment

LBP算法源代码 LBP算法源代码 LBP算法源代码 LBP算法源代码(LBP algorithm source code LBP algorithm source code LBP algorithm source code LBP algorithm source code)

误码率-信噪比曲线函数MUD_plot.m：(mud_plot.m)