An Approach of Grouping Decomposed Components
نویسندگان
چکیده
In this paper, a grouping method by measuring the dependency of decomposed signals is discussed. Dependencies between components decomposed by some ICA algorithm are calculated using test statistics, based on the empirical characteristic function. This method helps selecting the combination of independent components by classifying them into subgroups. The relevance of these ideas is illustrated with synthesized data and auditory evoked MEG, and compared with the separability matrix method.
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