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In this paper, a novel way of deriving proportionate adaptive filters is proposed based on diversity measure minimization using the iterative reweighting techniques well-known in the sparse signal recovery (SSR) area. The resulting least mean square (LMS)-type and normalized LMS (NLMS)-type sparse adaptive filtering algorithms can incorporate various diversity measures that have proved effective in SSR. Furthermore, by setting the regularization coefficient of the diversity measure term to zero in the resulting algorithms, Sparsity prom

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Pallister-Killian syndrome (PKS) is a rare sporadic genetic disorder caused by a mosaic tetrasomy of chromosome 12p, which mainly manifests with craniofacial dysmorphism, intellectual disability (ID), auditory disturbance, epilepsy, and a variety of congenital malformations. The diagnosis of PKS can be complicated due to the phenotypic variation, and an overlap with other syndromes makes the molecular cytogenetic test necessary for a correct diagnosis. We identified two unrelated patients with typical facial features of PKS, including