Generalized criteria for blind multivariate signal equalization

We consider the problem of blind multivariate signal equalization. Assuming that the input signals are i.i.d. and statistically mutually independent, we propose both a generalization of some available equalization criteria and a generalization of some source separation criteria to the convolutive case. Hence, we obtain a new generalized class of objective function for blind equalization.

[1]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[2]  Jitendra K. Tugnait,et al.  Identification and deconvolution of multichannel linear non-Gaussian processes using higher order statistics and inverse filter criteria , 1997, IEEE Trans. Signal Process..

[3]  Pierre Comon,et al.  Independent component analysis, A new concept? , 1994, Signal Process..

[4]  E. Moreau,et al.  New criteria for blind signal separation , 2000, Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496).

[5]  Jitendra K. Tugnait On blind separation of convolutive mixtures of independent linear signals in unknown additive noise , 1998, IEEE Trans. Signal Process..

[6]  P. Loubaton,et al.  Blind deconvolution of multivariate signals: A deflation approach , 1993, Proceedings of ICC '93 - IEEE International Conference on Communications.

[7]  P. Comon,et al.  Contrasts for multichannel blind deconvolution , 1996, IEEE Signal Processing Letters.

[8]  Pierre Comon,et al.  Blind MIMO equalization and joint-diagonalization criteria , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[9]  Yujiro Inouye,et al.  Cumulant-based blind identification of linear multi-input-multi-output systems driven by colored inputs , 1997, IEEE Trans. Signal Process..

[10]  Athina P. Petropulu,et al.  Frequency-domain contrast functions for separation of convolutive mixtures , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).