ArduinoIO

该文系统的归纳了相关matlb的重要应用函数 (In this paper, the system summarizes the important applications related functions matlb)

This book is useful for modeling the wireless channel with common noise and affects

信号在高斯信道下的仿真，本人自己编的，已经经过验证是正确的(The simulation signal under the Gauss channel, I own, has been verified to be correct)

This project will filter noise from video source

实现数字二阶锁相环仿真模拟，基于matlab(Simulation of digital two phase phase locked loop on matlab)

复杂网络中无标度网络的matlab及C++生成代码(Complex networks of scale-free networks generated code matlab and C++)

Spite压缩源码，matlab编写，希望对您能有很大帮助(Spite compressed source, Matlab prepared, and I hope to you can be of great help)

用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序(Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr)

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.)

振动抑制的matlab程序源码 RLS算法 matlab程序(Vibration suppression of the RLS algorithm matlab source matlab process procedures)