A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods
Independent Component Analysis (ICA) using reference signal is a useful tool for extracting a desired independent component (IC). Reference signal is served asa priori information to conduct ICA to converge to the local extreme point related to a desired IC. There are two methods can perform ICA using reference signal, namely ICA with reference (ICA-R) and fast ICA with reference signal (FICAR). In this paper, we present a comparative assessment of the two methods to highlight their respective characteristics.
KeywordsIndependent component analysis ICA-R FICAR
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