lmi-in-system-and-control

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》1 图像的点运算,图像的几何变换,空间域图像增强(&quot Digital image processing and machine vision: Visual C++ and Matlab to achieve&quot an image of the point operation, image geometric transformation, spatial domain image enhancement)

A simple Particle Filter implementation

It is the implement analysis of the following paper "N. Akar, E.Karasan and C. Raaelli, Fixed point analysis of limited range share per node wavelength conversion in asynchronous optical packet switching systems. Springerlink, Photonic Network Communication, Feb., (2009)."

用於音效處理的matlab code，內有多項examples及演算法！(algorithms for audio processing)

说明：  MATLAB代码实现PID自适应控制(MATLAB and PID control)

Genetic Algorithm for Matlab

Data mining algorithms including dbscan and k-means

可在Matlab上阅读地震数据SEGY格式，并进行编辑(reading on the seismic data in Matlab SEGY format, and edit)

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.)

MIMO Space-Time Block Coding (STBC): Simulations and Results Luis Miguel Cort´ es-Pe ˜ na CORTES-PENA ECE6604: PERSONAL & MOBILE COMMUNICATIONS PRESENTED TO DR. GORDON ST ¨ UBER, APRIL 2009 1