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.
Compressed sensing
2 Pith papers cite this work. Polarity classification is still indexing.
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