id: 05804658
dt: a
an: 05804658
au: Shamis, Michael; Zeevi, Yehoshua Y.
ti: Independent component analysis of time/position varying mixtures.
so: 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).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-15995-4_26
ab: 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.
rv: