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. Author manuscript; available in PMC: 2016 Sep 1.
Published in final edited form as: Proc IEEE Inst Electr Electron Eng. 2015 Sep 1;103(9):1478–1493. doi: 10.1109/JPROC.2015.2461624

Fig. 2.

Fig. 2

Two examples to demonstrate the role of diversity for (a) ICA (HOS and sample dependence); and (b) IVA (HOS, sample dependence, and source dependence) with respect to the induced CRLB. For both examples, note the improvement in performance as the role of HOS increases, i.e., as shape parameter β moves away from 1, as sample dependence, i.e., the value of AR coefficient a, increases, and in the case of IVA, as shown in (b), as source dependence measured by correlation across datasets ρ increases.