SPP-SBL unifies pattern-based block sparse Bayesian learning via a variance transformation framework and introduces a space-power prior to adaptively capture unknown block structures while solving space coupling parameter estimation with EM and root-solving.
Sparse optimization with least- squares constraints,
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SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery
SPP-SBL unifies pattern-based block sparse Bayesian learning via a variance transformation framework and introduces a space-power prior to adaptively capture unknown block structures while solving space coupling parameter estimation with EM and root-solving.