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- W1537515316 abstract "In this chapter, we discussed the concepts, fundamental model, and application of the optimized ICA weighted iterative algorithm. The selection of the number of independent components is also systematically reviewed here. Some practical examples of speech signals, and functional magnetic resonance imaging (FMRI) data were presented towards the end of the chapter. When applied to separation simulation for artificial mixed signal and fMRI data analysis, the optimized ICA algorithm obtains more accurate results of blind separation, and richer brain activation information." @default.
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- W1537515316 date "2014-01-03" @default.
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- W1537515316 title "Optimized Independent Component Analysis Algorithms and Applications" @default.
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