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BLIND SOURCE SEPARATION FOR FMRI SIGNALS USING A NEW INDEPENDENT COMPONENT ANALYSIS ALGORITHM
Authors
史振威
唐一源
唐焕文
武振华
Publication date
1 January 2004
Publisher
Abstract
采用独立成分分析(independentcomponentanalysis,ICA)的一种新的牛顿型算法来提取功能磁共振成像(functionalmagneticreasonanceimaging,fMRI)信号中的各种独立成分(包括与实验设计相关的成分以及各种噪声)。与fastICA相比,该算法减少了运算量,提高了运算速度,而且能够很好地分离出各个独立成分。结果表明该算法是一种有效的fMRI信号分析手段
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Institutional Repository of Institute of Psychology, Chinese Academy of Sciences
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oai:ir.psych.ac.cn:311026/2396
Last time updated on 25/07/2018
Institute of Psychology,Chinese Academy Of Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:ir.psych.ac.cn:311026/2397
Last time updated on 08/08/2019