A general algebraic algorithm for blind extraction of one source in a MIMO convolutive mixture
Periodicals(2010)
Abstract
AbstractThe paper deals with the problem of blind source extraction from a multiple-input/multiple-output (MIMO) convolutive mixture. We define a new criterion for source extraction which uses higher-order contrast functions based on so called reference signals. It generalizes existing reference-based contrasts. In order to optimize the new criterion, we propose a general algebraic algorithm based on best rank-1 tensor approximation. Computer simulations illustrate the good behavior and the interest of our algorithm in comparison with other approaches.
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Key words
MIMO communication,blind source separation,convolution,tensors,blind source extraction,general algebraic algorithm,higher-order contrast functions,multiple-input multiple-output convolutive mixture,rank-1 tensor approximation,reference signals,Blind source extraction,contrast functions,higher-order statistics,independent component analysis,tensor decomposition
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