Shi

The code enables the user to calculate the block truncation code of the given image. It is a lossy form of compression coding but excellent for beginners.

基因算法实现的特征提取，实现平台是matlab(feature selection with genetic algorithm)

说明：  Floyd最短路径算法，任意找出两点的最短距离，可以在MATLAB上运行。(Floyd shortest path algorithm, and find out the most short of any two points, can run in MATLAB. )

fuzzy logic controller design

One of the most popular adaptive algorithms available in the literature is the stochastic gradient algorithm also called least-mean-square (LMS) [1], [2]. Its popularity comes from the fact that it is very simple to be implemented. As a consequence, the LMS algorithm is widely used in many applications

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.)

用matlab实现简单的语音处理，提供系统的GUI设计源代码(GUI design source code using matlab to achieve a simple voice processing system)

一篇关于Matlab的很好的教程，对于学习matlab来讲是一个不错的选择(A good tutorial on Matlab, matlab for learning is a good choice in terms of)

一篇很好的基于特征点的图像配准算法研究论文，很有参考意义！(A good feature points based image registration algorithm research papers, meaning a good reference!)

simulink应用实例，基于MATLAB6.5系列(Simulink application examples, based on a series of MATLAB6.5)