traffic-MATLAB

说明：  经典粒子滤波程序，对于初学者有帮助！程序完整有效！(Classic particle program, it is useful for the beginners! Procedures is completed and effective!)

有限单元集成刚度程序，用于计算常见单元刚度矩阵及集成。(beamassemble .ect.)

本程序是自适应核分布时频分布的演示程序，可以对信号进行时频分析，主程序matlab开发，核心算法是c++语言的。(This procedure is the adaptive time-frequency distribution of nuclear distribution of the demo program can be time-frequency signal analysis, matlab main program development, the core algorithm is c++ Language.)

特征提取是模式识别中最重要的一个部分，这里提供的matlab代码计算一些基本的话音特征，而且，提供了一个简单的基于直方图的特征分类方法的实现。基本的特征包括：特征统计、Energy Entropy Standard Deviation (std)、均值信息熵、过零率检测、频谱衰减等等六个特征(Pattern recognition feature extraction is the most important part, here' s matlab code to compute some basic voice features, but also provides a simple classification method based on histogram characteristics of the implementation. Basic features include: Features and Statistics, Energy Entropy Standard Deviation (std), mean entropy, the zero-rate detection, attenuation, and so the six characteristics of the spectrum)

首先是对matlab程序设计的概述，其次是matlab程序结构的详细讲解以及M文件的简介(An instroduction about the program deisgn of matlab )

zero current sswitching a matlab (simlink model)

source code for image forensics

SIMULINK学习很好的入门学习资料，里面包含很多模块，容易上手。(SIMULINK learning nice introduction learning material, contains a lot of module, easy to use.)

IMPLEMENTATION OF A ROBUST CONTROLLER

说明：  高通滤波器，带通滤波器，数字FIR滤波器(The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication". Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet. )