Theoretical Foundations of Second-Order-Statistics-Based Blind Source Separation for Non-Stationary Sources

@article{Tanaka2006TheoreticalFO,
  title={Theoretical Foundations of Second-Order-Statistics-Based Blind Source Separation for Non-Stationary Sources},
  author={Akira Tanaka and Hideyuki Imai and Masaaki Miyakoshi},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={3},
  pages={III-III}
}
The aim of "blind source separation" is to recover mutually independent unknown source signals from observations obtained through an unknown linear mixture system. Simultaneous diagonalization of correlation matrices (second-order statistics) of observations is one of the resolutions, when the unknown source signals are non-stationary. Although it is trivial that the true separation matrix simultaneously diagonalizes all the correlation matrices, it is not well investigated whether a… CONTINUE READING