Joint Sparse Recovery Based on Variances
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Publication:4646459
DOI10.1137/17M1155983zbMath1454.94020OpenAlexW2909358586MaRDI QIDQ4646459
Y. Sui, Guohui Song, Ben Adcock, Anne Gelb
Publication date: 14 January 2019
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/17m1155983
Ill-posedness and regularization problems in numerical linear algebra (65F22) Numerical optimization and variational techniques (65K10) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Related Items (7)
Sequential image recovery from noisy and under-sampled Fourier data ⋮ Empirical Bayesian Inference Using a Support Informed Prior ⋮ Generalized Sparse Bayesian Learning and Application to Image Reconstruction ⋮ Sequential edge detection using joint hierarchical Bayesian learning ⋮ Inhomogeneous regularization with limited and indirect data ⋮ Sequential image recovery using joint hierarchical Bayesian learning ⋮ Reducing effects of bad data using variance based joint sparsity recovery
Uses Software
Cites Work
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