MIMO-AR System Identification and Blind Source Separation for GMM-Distributed Sources

@article{Routtenberg2009MIMOARSI,
  title={MIMO-AR System Identification and Blind Source Separation for GMM-Distributed Sources},
  author={Tirza Routtenberg and Joseph Tabrikian},
  journal={IEEE Transactions on Signal Processing},
  year={2009},
  volume={57},
  pages={1717-1730}
}
The problem of blind source separation (BSS) and system identification for multiple-input multiple-output (MIMO) auto-regressive (AR) mixtures is addressed in this paper. Two new time-domain algorithms for system identification and BSS are proposed based on the Gaussian mixture model (GMM) for sources distribution. Both algorithms are based on the generalized expectation-maximization (GEM) method for joint estimation of the MIMO-AR model parameters and the GMM parameters of the sources. The… CONTINUE READING
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