IEEE Transactions on Signal Processing
Blind equalization of MIMO-FIR channels driven by white but higher order colored source signals
IEEE Transactions on Information Theory
Signal Processing - Special section: Distributed source coding
Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA
Neural Information Processing
An eigenvector algorithm with reference signals using a deflation approach for blind deconvolution
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
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This paper considers the problem of blind separation of sources mixed by a MIMO convolutive system. For both i.i.d. and non i.i.d. sources, quadratic separation criteria previously designed for the extraction of a single source are extended to parallel extraction in the MIMO case. These criteria are based on the use of so-called reference signals and a condition is given under which we obtain MIMO contrast functions. Simulations demonstrate that a particular choice of a set of reference signals ensures the contrast property. The performance offered by these criteria is investigated through simulations: it is shown that the proposed contrast functions avoid accumulation errors, contrary to deflation methods.