shili99

基于matlab实现的椭圆拟合代码！包括经典的几种椭圆拟合方法！(The ellipse fitting based on matlab code! )

说明：  此模型是基于MATLAB-simulink，用boucwen滞回模型分析单自由度体系的振动反应(This model is based on MATLAB-simulink. The boucwen hysteresis model is used to analyze the vibration response of a single-degree-of-freedom system.)

包括最后计算压缩图像的峰值信噪比和压缩效果的源码,计算两个矩阵之间的欧氏距离，IDW距离反比加权方法。( Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Calculation of the Euclidean distance between the two matrices, IDW inverse distance weighting method.)

matlab code for jammer modelisation

lib svm is support vector machine which can be used in classification and regression test. thanks for open source

high-end mathematical algorithm matlab source

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.)

Delay-Sum Beamforming

元胞自动机 nasch 模型！单条道路上模拟 的(a cellular automaton，nasch model on one lane)

说明：   改进的牛顿法求解： 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (improve Newton's method : Construction of the equation : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : Your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)