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…