MATLABstudy

自己编写的K均值算法，比MATLAB自带的简洁，效果不错(I have written K-means algorithm, MATLAB comes with more than simple, good results)

this is a home work. how to use matlab and learning

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

说明：  a game

Multi-User Diversity vs. Accurate Channel State Information in MIMO Downlink Channels Niranjay Ravindran and Nihar Jindal University of Minnesota, Minneapolis, MN 55455

这是用matlab中的simulink仿真的Nakagami信道，对UWB研究者很有用。(This is in simulink with matlab simulation of Nakagami channel on UWB researchers useful.)

IS-95 matlab源码。包括PN产生，打包，调制，解调，维特编码和解码，接收机等。()

matlab code for FindJObj - find java handles of Matlab graphic objects

duda 模式分类 第四章 上机练习代码（原创，不是网内流传的官方工具箱，比较全，大部分已调试）对应课后题的题号(Pattern Classification 2nd CH4 code practice )

UCA Real Beamforming performance via SNR