Séparation aveugle de mélanges convolutifs de sources cyclostationnaires. (Blind source separation of convolutive mixtures of cyclostationary signals)
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چکیده
منابع مشابه
Fixed-point algorithms for convolutive blind source separation based on non-gaussianity maximization Algorithmes à point xe pour séparation aveugle de sources convolutive fondée sur la maximisation de non-gaussianité
This paper presents a new approach to the problem of blind separation of independent components in the case of MA convolutive mixtures of MA processes. It consists of an extension of the well-known Fast-ICA algorithm developed by Hyvärinen and Oja for instantaneous mixtures. We introduce a new type of sphering (convolutive sphering) that allows the use of non-gaussianity criteria and associated...
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This paper presents new blind separation methods for Moving Average (MA) convolutive mixtures of independent MA processes. They consist of time-domain extensions of the FastICA algorithms developed by Hyvärinen and Oja for instantaneous mixtures. They perform a convolutive sphering in order to use parameter-free fast fixed-point algorithms associated with kurtotic or negentropic nongaussianity ...
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