mapLSB

进行时频变换的工具箱，包含几十种时频变换算法的源程序(time frequency analysis box)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

说明：  第17章： 数据统计和分析 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对样本进行分类 MainAnalysis 对样本进行主成分分析 (data)

Matlab中由两个均匀分布随机变量产生高斯白噪声，以及自相关函数和功率谱图(Matlab by two uniformly distributed random variables have a Gaussian white noise, and the autocorrelation function and power spectrum)

给出卫星适当的初始位置和速度，利用其运动微分方程，求出2－3个周期内的轨道，并画出机械能和动量矩的大小随时间变化的曲线。(Given appropriate initial satellite position and velocity, using the equations of motion, find the 2-3 cycle track, and draw mechanical energy and angular momentum of the size of the curve over time.)

基于matlabGUI 的图形化界面，展示了snake能量边缘算法检测，并通过调节参数查看算法效果(MatlabGUI-based graphical interface that shows the snake energy edge detection algorithm, and the algorithm by adjusting the parameters to see the effect of)

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)

ce document traite le cas de modèle hybride RN et AG

基于contourlet变换的隐性马尔可夫模型树程序包，是由Duncan Po等人编写，其中含有部分C程序(on Contourlet Transform hidden Markov model tree package, Po is from Duncan and others prepared, which contains some C Program)

this code normalise iris,is written by libor masek,this code is usefull for iris recognition.