# Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers

@article{Koldovsk2021DynamicIC, title={Dynamic Independent Component/Vector Analysis: Time-Variant Linear Mixtures Separable by Time-Invariant Beamformers}, author={Zbyněk Koldovsk{\'y} and V{\'a}clav Kautsk{\'y} and Petr Tichavsk{\'y} and Jaroslav Cmejla and Jiř{\'i} M{\'a}lek}, journal={IEEE Transactions on Signal Processing}, year={2021}, volume={69}, pages={2158-2173} }

A novel extension of Independent Component and Independent Vector Analysis for blind extraction/separation of one or several sources from time-varying mixtures is proposed. The mixtures are assumed to be separable source-by-source in series or in parallel based on a recently proposed mixing model that allows for the movements of the desired source while the separating beamformer is time-invariant. The popular FastICA algorithm is extended for these mixtures in one-unit, symmetric and block…

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