Reference Based Contrast Functions in a Semi-blind Context

Authors:
Marc Castella;Eric Moreau
Affiliations:
Institut TELECOM/ TELECOM & Management SudParis, UMR-CNRS 5157, Evry CEDEX, France 91011;University of Sud Toulon Var, ISITV, LSEET UMR-CNRS 6017, La Valette du Var CEDEX, France 83162
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

Citing 3
Cited 0

Separation of a class of convolutive mixtures: a contrast function approach

Signal Processing
Quadratic Higher Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources

IEEE Transactions on Signal Processing
Identification and deconvolution of multichannel linearnon-Gaussian processes using higher order statistics and inverse filtercriteria

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

We deal with blind signal extraction in the framework of a convolutive mixture of independent sources. Considering so-called reference signals, we generalize former identifiability conditions. Based on this result, we propose to incorporate some a priori information in the references. We show the validity of reference based contrast functions in two semi-blind situations. The results are confirmed by computer simulations.