@CONFERENCE\{IMM2006-03880,
    author       = "M. Dyrholm and S. Makeig and L. K. Hansen",
    title        = "Model structure selection in convolutive mixtures",
    year         = "2006",
    keywords     = "ica convolutive maximum likelihood contextual eeg model selection",
    booktitle    = "6th International Conference on Independent Component Analysis and Blind Source Separation",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/3880-full.html",
    abstract     = "The {CICAAR} algorithm (convolutive independent component
analysis with an auto-regressive inverse model) allows
separation of white (i.i.d) source signals from convolutive
mixtures.
 We introduce a source color model as a simple
extension to the {CICAAR} which allows for a more parsimoneous
representation in many practical mixtures. The new filter{-CICAAR} 
allows Bayesian model selection and can help answer questions
like: 'Are we actually dealing with a convolutive mixture?'. We
try to answer this question for {EEG} data."
}