Model structure selection in convolutive mixtures

Mads Dyrholm, Scott Makeig, Lars Kai Hansen

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    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.
    Original languageEnglish
    Title of host publication6th International Conference on Independent Component Analysis and Blind Source Separation
    Publication date2006
    Publication statusPublished - 2006

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