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• W4283215710 abstract "We address here the non-sparse signal reconstruction behavior of the Gaussian-inverse-Gamma model, in the context of compressive sensing using sparse Bayesian learning with variational Bayes (VB) inference. We estimate the numerical sparsity level of the signal of interest using sparse Bayesian learning and VB inference. Then, we feed the estimated sparsity level along with the estimated variance on the components of the sparse signal to the orthogonal matching pursuit algorithm to refine the reconstruction results. The results show the performance improvement of sparse signal recovery, with a reasonable computation cost." @default.
• W4283215710 created "2022-06-22" @default.
• W4283215710 creator A5015356150 @default.
• W4283215710 creator A5041641170 @default.
• W4283215710 date "2022-05-01" @default.
• W4283215710 modified "2023-10-18" @default.
• W4283215710 title "Sparse Bayesian Learning Via Variational Bayes Fused With Orthogonal Matching Pursuit" @default.
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• W4283215710 doi "https://doi.org/10.1109/ietc54973.2022.9796759" @default.
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