Bayesian decomposition using Besov priors

arXiv:2506.18846v2 Announce Type: replace-cross Abstract: In many inverse problems, the unknown is composed of multiple components with different regularities, for example, in imaging problems, where the unknown can have both rough and smooth features. We investigate linear Ba...

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