11 citations · 35 across the 15 of their papers we have counts for
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eess.SP2020
Estimation and uncertainty quantification for piecewise smooth signal recovery
Victor Churchill, Anne Gelb
This paper presents a sparse Bayesian learning (SBL) algorithm for linear inverse problems with a high order total variation (HOTV) sparsity prior. For the problem of sparse signal…
eess.SP2019★ 2 cited
Total Variation Bayesian Learning via Synthesis
Victor Churchill, Anne Gelb
This paper presents a sparse Bayesian learning algorithm for inverse problems in signal and image processing with a total variation (TV) sparsity prior. Because of the prior used,…
eess.SP2018
Detecting edges from non-uniform Fourier data via sparse Bayesian learning
Victor Churchill, Anne Gelb
In recent investigations, the problem of detecting edges given non-uniform Fourier data was reformulated as a sparse signal recovery problem with an l1-regularized least squares co…