signalestimation

求K熵(Kolmogorov Entropy) GP算法 - KolmogorovEntropy_GPMain_KolmogorovEntropy_GP.m STB算法 - KolmogorovEntropy_STBMain_KolmogorovEntropy_STB.m(For K-entropy (Kolmogorov Entropy) GP algorithm- KolmogorovEntropy_GP Main_KolmogorovEntropy_GP.m STB algorithm- KolmogorovEntropy_STB Main_KolmogorovEntropy_STB.m)

说明：  C_V水平集模型图像分割算法C_V level set model for image segmentation(C_V level set model for image segmentation)

<<现代信号处理教程>>(胡广书版)书中配套的matlab源代码。(this is a matlab code of the book called modem signal processing.)

此程序为瑞雷面波最小二乘反演程序，适合于初步接触瑞雷面波反演研究相关方面的人员。(This procedure for the Rayleigh wave least squares inversion procedure is suitable for the initial contact Rayleigh wave inversion research personnel.)

说明：  超分辨率程序，用matlab开发,可以直接执行(matlab, super resolution)

说明：  利用MATLAB绘制均匀线列阵和均匀圆阵的方向图(Uniform linear array mapping using MATLAB and the uniform circular array pattern)

MATLAB7_0 基础教程_ 清华大学出版社(a remarkable study book for matlab)

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.)

MATLAB系统仿真的方法介绍，信源编/译码等等的介绍(MATLAB simulation of the method of introduction, source encoder/decoder and so the introduction)

《MATLAB统计分析与应用：40个案例分析》程序与数据-第八章源代码：数据拟合(" MATLAB statistical analysis and application: 40 Case Studies" program and data- Chapter VIII Source: Data Fitting)