文件名称:ICAsuanfa
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独立成分分析(Independent Component Analysis，ICA)是近年来提出的非常有效的数据分析工具，它主要用来从混合数据中提取出原始的独立信号。它作为信号分离的一种有效方法而受到广泛的关注。-Independent component analysis (Independent Component Analysis, ICA) is a very effective tool for data analysis proposed in recent years, it is mainly used to extract the original independent signals the mixed data. It is an effective method for signal separation and widespread concern.
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ICAsuanfa
.........\CVS
.........\...\Entries
.........\...\Repository
.........\...\Root
.........\Speech4.mat
.........\aaa.m
.........\demosig.m
.........\dispsig.m
.........\fastica.m
.........\fasticag.m
.........\fpica.m
.........\gui_adv.m
.........\gui_advc.m
.........\gui_cb.m
.........\gui_cg.m
.........\gui_help.m
.........\gui_l.m
.........\gui_lc.m
.........\gui_s.m
.........\gui_sc.m
.........\icaplot.m
.........\pcamat.m
.........\remmean.m
.........\whitenv.m
.........\zhuhanshu.m
.........\有关FastICA算法
.........\...............\zhuhanshu.m
.........\...............\关于FastICA大程序的解释.doc
.........\...............\编写主函数后运用FastICA的运行结果.doc