Matlab

很少见的六角阵波束形成的相关仿真及其相关的各种图形(Rare hexagonal array beamformed related simulation and its associated various graphics)

用于计算两组变量之间的同步指数，用matlab编写的代码(Two sets of variables used to calculate the index synchronization between the code written in matlab)

MATLAB中实现中值滤波的算法的M文件。经过验证可以实现滤波效果。(MATLAB implementation of the algorithm for filtering the M documents. Filtering can be achieved proven results.)

matlab论文，对于一些人可能有用的。第一次上传，不是很精通。呵呵(matlab papers may be useful for some people. The first upload is not very proficient. Hehe)

Gabor变换子函数，有详细注释，采用高斯窗，绝对可用(Gabor transform subroutine, detailed notes, using the Gaussian window, absolutely useful)

实现SPHIT编码，有n=5~2时的编码输出值！！(SPHIT coding show the output with n =5.....2)

a book of Benenti about quantum information

k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)

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.)

基于LBG算法的矢量量化码书设计的Matlab程序(LBG algorithm based on vector quantization codebook design procedure of Matlab)