Abnormality detection based on the Kullback–Leibler divergence for generalized Gaussian data
Control Engineering Practice, pp. 257-270, 2019.
Abstract This paper is on abnormality detection, where the observed data under the normal condition is assumed to be independent and identically distributed (i.i.d.) and follow the generalized Gaussian distribution (GGD) with shape parameter greater than 1. The Kullback–Leibler divergence (KLD) between the estimated GGD of the observed ...More
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