Abstract
This paper proposes a blind source extraction method based on several time-delay autocorrelations of primary sources. This method is a second-order statistics learning algorithm, which can extract the desired biomedical signal with specific temporal structure. In contrast to conventional method, it is very simple and does not need to choose any learning step sizes. Computer simulations on biomedical measurements demonstrate its validity and high performance in the process of revealing the underling desired signal.
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