18 citations · 75 across the 23 of their papers we have counts for
4 papers · 1 filter
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…
Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR
John McKay, Anne Gelb, Suren Jayasuriya +1
Fourier domain methods are fast algorithms for SAR imaging. They typically involve an interpolation in the frequency domain to re-grid non-uniform data so inverse fast Fourier tran…
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,…
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…