74 citations · 84 across the 7 of their papers we have counts for
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stat.ML2012★ 3 cited
Application of Bayesian Hierarchical Prior Modeling to Sparse Channel Estimation
Niels Lovmand Pedersen, Carles Navarro Manchón, Dmitriy Shutin +1
Existing methods for sparse channel estimation typically provide an estimate computed as the solution maximizing an objective function defined as the sum of the log-likelihood func…
stat.ML2011★ 74 cited
Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models
Niels Lovmand Pedersen, Carles Navarro Manchón, Mihai-Alin Badiu +2
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have been used to model sparsity-inducing priors that realize a class of concave penalty functions for the regress…