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\iteman{io-port 05804658}
\itemau{Shamis, Michael; Zeevi, Yehoshua Y.}
\itemti{Independent component analysis of time/position varying mixtures.}
\itemso{Vigneron, Vincent (ed.) et al., Latent variable analysis and signal separation. 9th international conference, LVA/ICA 2010, St. Malo, France, September 27--30, 2010. Proceedings. Berlin: Springer (ISBN 978-3-642-15994-7/pbk). Lecture Notes in Computer Science 6365, 205-212 (2010).}
\itemab
Summary: Blind Source Separation (BSS) is a well known problem that has been addressed in numerous studies in the last few decades. Most of the studies in this field address the problem of time/position invariant mixtures of multiple sources. Real problems are however usually not time and/or position invariant, and much more complicated. We present an extension of the Maximum Likelihood (ML) Independent Component Analysis (ICA) approach to time variant instantaneous mixtures.
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\itemli{doi:10.1007/978-3-642-15995-4\_26}
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