Eigenvector Algorithms for Blind Deconvolution of MIMO-IIR Systems
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[1] Karl-Dirk Kammeyer,et al. A closed-form solution to blind equalization , 1994, Signal Process..
[2] Driss Aboutajdine,et al. Source separation contrasts using a reference signal , 2004, IEEE Signal Processing Letters.
[3] Mitsuru Kawamoto,et al. Eigenvector Algorithms Using Reference Signals , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[4] Mitsuru Kawamoto,et al. Robust Super-Exponential Methods for Blind Equalization of MIMO-IIR Systems , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[5] Yujiro Inouye,et al. Super-exponential algorithms for multichannel blind deconvolution , 2000, IEEE Trans. Signal Process..
[6] Tetsuya Okamoto,et al. Adaptive super-exponential algorithms for blind deconvolution of MIMO systems , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).
[7] Lucas C. Parra,et al. Blind Source Separation via Generalized Eigenvalue Decomposition , 2003, J. Mach. Learn. Res..
[8] Y. Inouye. Autoregressive model fitting for multichannel time series of degenerate rank: Limit properties , 1985 .