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. Author manuscript; available in PMC: 2017 Oct 1.
Published in final edited form as: IEEE J Sel Top Signal Process. 2016 Jul 27;10(7):1134–1149. doi: 10.1109/JSTSP.2016.2594945

Fig. 2. Hierarchy of linear BSS models.

Fig. 2

Historically, BSS models have been made more general by: A) increasing the number of datasets which can be jointly analyzed [see Layout and Subsets]; B) moving from isolated sources to groups of sources in the same dataset [see Subsets]; C) exploiting SOS, HOS, or both [see Type of Statistics]. The arrows indicate the directions of increasing difficulty, model complexity, and generality. Highly general models can address MDM problems by incorporating lenient modeling choices.