MI_Optimization

产生正态变量的随机数,进行未知参数的区间估计 产生两个正态总体的随机数, 进行未知参数均值差,方差比的区间估计.( generate normial variable, estimate unknown paramatric interval )

程序展示了使用EM algorithm来训练GMM(Gaussian Mixture Model)来进行binary classification。(Program demonstrates the use of EM algorithm to train the GMM (Gaussian Mixture Model) for binary classification.)

Matlab的编程例题，关于BP神经网络的PID温度控制(Matlab programming examples on BP neural network PID temperature control)

用matlab软件处理dbf文件，直接读出数据(Matlab read DBF file, read data directly)

a generic particle swarm optimizer

背景差分法 运动目标的检测 获取二值图像 二值图像的腐蚀与膨胀处理(the background difference)

risk Granger 因果关系检验模型(risk Granger)

Neighborhood rough set based feature evaluation and reduction

说明：  最优多用户检测，即最大后验概率的算法，主要是用于多用户检测中(Optimal multi-user detection, that is, maximum a posteriori probability algorithm, mainly used for multi-user detection)

基于Maximum likelihood准则的ICA算法 (the ICA algorithm based on Maximum likelihood)