117 citations · 443 across the 36 of their papers we have counts for
4 papers · 1 filter
Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel
Tae-Eon Park, Taesup Moon
We devise a novel neural network-based universal denoiser for the finite-input, general-output (FIGO) channel. Based on the assumption of known noisy channel densities, which is re…
Discrete denoising of heterogenous two-dimensional data
Taesup Moon, Tsachy Weissman, Jae-Young Kim
We consider discrete denoising of two-dimensional data with characteristics that may be varying abruptly between regions. Using a quadtree decomposition technique and space-filling…
Discrete Denoising with Shifts
Taesup Moon, Tsachy Weissman
We introduce S-DUDE, a new algorithm for denoising DMC-corrupted data. The algorithm, which generalizes the recently introduced DUDE (Discrete Universal DEnoiser) of Weissman et al…
Universal Filtering via Hidden Markov Modeling
Taesup Moon, Tsachy Weissman
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known DMC are to be causally estimated, is…