EURASIP Journal on Advances in Signal Processing

Table 1 Summary of parameterized properties in GGD- and t-ILRMA

From: Generalized independent low-rank matrix analysis using heavy-tailed distributions for blind source separation

	Shape parameter	Domain parameter
	(β, ν)	(p)
GGD-ILRMA	β→0	p→0
	∙ Low-rankness injection	∙ Low-rankness mitigation
	via geometric mean
	∙ Faster NMF update	∙ Slower NMF update
	Special cases
	∙ β=2: Gaussian dist.
	∙ β=1: Laplace dist.
t-ILRMA	ν→1	p→0
	∙ Low-rankness injection	∙ Low-rankness mitigation
	via harmonic mean	∙ Slower NMF update
	Special cases
	∙ ν→∞: Gaussian dist.
	∙ ν=1: Cauchy dist.

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