A fully unsupervised deep dictionary integrated with compressed sensing and split Bregman iteration reconstructs simulated radio interferometry images with reported dynamic range 45 to 100 times higher than MS-CLEAN.
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An Unsupervised Learning Method for Radio Interferometry Deconvolution
A fully unsupervised deep dictionary integrated with compressed sensing and split Bregman iteration reconstructs simulated radio interferometry images with reported dynamic range 45 to 100 times higher than MS-CLEAN.