gridfit

这个是关于RS编码的word文档，提供给大家，希望能带来帮助(it is a word paper for rs to all.wish it can help you)

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.)

双边滤波代码，用matlab实现，灰度图和彩色图都能用，简单容易看懂(Bilateral Filtering.Implemented in matlab, both gray and color images are applicable.It s easy to read.)

TutorielMatlab.pdf CE TUTO VOUS DONNE PERMET DE VOUS INITIER AU LANGAGE DE PROGRAMMATION MATLAB

Direct torque control asynchronous machine

一个利用matlab实现的特征脸的提取程序，可作为其他程序的基础算法(an achievable using Matlab Eigenface the extraction procedure can be used as the basis for other procedures Algorithm)

说明：  无线通信第三章第十一题的答案Jakes Model 锐利衰落信道(Chapter XI of the wireless communications answer to sharp fading Jakes Model)

说明：  加椒盐噪声，二维高斯低通滤波器，计算二维线性滤波(Add salt and pepper noise, Gaussian low-pass filter to calculate two-dimensional linear filtering)

It is the document related to noise reduction

FASTICA算法从多维信号中估计其独立分量。FASTICA采用Hyvarinen的定点算法实现。(FASTICA(mixedsig) estimates the independent components given multidimensional signals. Each row of matrix mixedsig is one observed signal. FASTICA uses Hyvarinen s fixed-point algorithm. )