Signal Processing Group

In this paper a multivariate contrast function is proposed for the blind signal extraction of a subset of the indepen-dent components from a linear mixture. This contrast com-bines the robustness of the joint approximate diagonaliza-tion techniques with the exibility of the methods for blind signal extraction. Its maximization leads to hierarchical and simultaneous ICA extraction algorithms which are respec-tively based on the thin QR and thin SVD factorizations. The interesting similarities and differences with other exist-ing contrasts and algorithms are commented. 1