Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Linear Models

no code implementations • 22 Aug 2011 • Niels Lovmand Pedersen, Carles Navarro Manchón, Mihai-Alin Badiu, Dmitriy Shutin, Bernard Henri Fleury

Motivated by the relative scarcity of formal tools for SBL in complex-valued models, this paper proposes a GSM model - the Bessel K model - that induces concave penalty functions for the estimation of complex sparse signals.

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