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# Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures

@article{Koivunen2001AdaptiveAF, title={Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures}, author={Visa Koivunen and Mihai Enescu and Erkki Oja}, journal={Neural Computation}, year={2001}, volume={13}, pages={2339-2357} }

- Published 2001 in Neural Computation
DOI:10.1162/089976601750541822

This article addresses the problem of blind source separation from time-varying noisy mixtures using a state variable model and recursive estimation. An estimate of each source signal is produced real time at the arrival of new observed mixture vector. The goal is to perform the separation and attenuate noise simultaneously, as well as to adapt to changes that occur in the mixing system. The observed data are projected along the eigenvectors in signal subspace. The subspace is tracked real time… CONTINUE READING