PRF_stagger_calculation4

两个盲源分离程序 分别对应文章《Underdetermined Blind Source Separation using Sparse Representations》和《Underdetermined blind separation of delayed sound sources in the frequency domain》(Blind Source Separation )

说明：  mann-kendall趋势性检验，用于检验一组数据趋势性情况(mann-kendall trend test, a set of data used to test the trend of the situation)

pca算法代码，清晰有注释，详细功能详细功能(PCA algorithm code, clear notes, detailed functional)

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

说明：  matlab和数据库的连接,本实例用ODBC连接,使用时要在本机上建立数据源,程序提供对Access操作的简单功能(matlab and database connection, the example of using ODBC connection, when used in this machine to set up a data source, the program provides a simple function of Access Operation)

根据输入的状态量，产生多个的传感器观测量，并且加入高斯噪声。(According to state the amount of input to produce multiple sensor observations, and add Gaussian noise.)

2*2 Alamouti space-time coding use MATLAB

基因演算法,学习速成,matlab,求解peaks的最大值(Genetic algorithms, learning quick, matlab, solution of the maximum peaks)

esprit的tam算法的matlab仿真程序，可生成随信噪比递增均方差的变化图。(esprit the tam algorithm matlab simulation program can be generated with the SNR increase the mean square deviation of the change map. )

Multi-Object Particle Swarm Optimization (MOPSO)