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(Neural Computation. 2001;13:1995-2003.)
© 2001 The MIT Press

Note

Extraction of Specific Signals with Temporal Structure

Allan Kardec Barros

Bio-mimetic Control Research Center, RIKEN, Moriyama-ku, Shimoshidami, Nagoya 463-0003, Japan

Andrzej Cichocki

Brain Science Institute, RIKEN, Wako-shi, Saitama 351-01, Japan

In this work we develop a very simple batch learning algorithm for semiblind extraction of a desired source signal with temporal structure from linear mixtures. Although we use the concept of sequential blind extraction of sources and independent component analysis, we do not carry out the extraction in a completely blind manner; neither do we assume that sources are statistically independent. In fact, we show that the a priori information about the autocorrelation function of primary sources can be used to extract the desired signals (sources of interest) from their linear mixtures. Extensive computer simulations and real data application experiments confirm the validity and high performance of the proposed algorithm.






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Copyright © 2001 by The MIT Press.