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Identifiability, separability, and uniqueness of linear ICA models

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2 Author(s)
Eriksson, J. ; Signal Process. Lab., Helsinki Univ. of Technol., Finland ; Koivunen, V.

In this letter, we give the conditions for identifiability, separability and uniqueness of linear real valued independent component analysis (ICA) models. A theorem is formulated and a proof is provided for each of the above concepts. These results extend the conditions for solving ICA problems, originally established by Comon , to wider class of mixing models and source distributions. Examples clarifying the above concepts are presented as well.

Published in:

Signal Processing Letters, IEEE  (Volume:11 ,  Issue: 7 )