pso

很好免疫算法，推荐给大家了，有空看一下的。(Good algorithm, recommended for everyone, and free look of.)

计算modified hausdorff距离 matlab函数(modified hausdorff distance (matlab function))

these are some matlab programs having pdf of normal distribution boinomial distribution poisson distribution. these are taken from well known book anthones paopulus on probability theory

基于matlab的经验模式分解的事例程序，此版本为ALAN 版本的整合注释版( empirical mode decomposition，based on matlab ，this is ALAN version with notes)

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.)

The classic hello.cpp

基于Anti-我indupdePID控制 包含M语言和Simulink仿真(I indupdePID Anti-based control language and Simulink simulation contains M)

说明：  粒子群算法解决一般优化问题 简单实用可以有效的解决优化问题(Particle Swarm Optimization algorithm to solve the general problem)

cliping and filteing technique in papar reduction

利用FFT方法和维纳-辛钦定理自相关函数获得功率谱的对比。(Using FFT method and Wiener- Khintchine theorem to obtain the autocorrelation function of the power spectrum contrast.)