xitongziyuanfenpei

bpsk调制信号在matlab里的仿真实现(Simulation of BPSK modulated signal in matlab)

粒子滤波算法关于目标跟踪的源代码，有注释可以相互学习下。(The source code of the particle filter algorithm for target tracking, the comment can learn from each other.)

空间普估计之music算法与信噪比之间的关系(Space and general music algorithm estimates the relationship between SNR)

code matlab descripteur gist matlab

matlab程序，对图像做选取3*3矩阵的8邻域与中心特征值的像素差，然后按照不同的方式滑动(matlab program, the selected pixels of the image to make the neighborhood and the center differential 8 eigenvalues ​ ​ 3* 3 matrix, and then slide in different ways)

Kernel Patial Least square

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.)

Heat equation[matlab]

运用matlab程序源码，进进行模糊PID设计 (Use of matlab program source code, into the fuzzy PID design)

说明：  有效观察OAM的相位模式，可自由设定拓扑荷数(Observing the phase mode of OAM effectively, the topological charge can be set freely.)