AI RESEARCH
SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery
arXiv CS.LG
•
ArXi:2505.08518v2 Announce Type: replace-cross The recovery of block-sparse signals with unknown structural patterns remains a fundamental challenge in structured sparse signal reconstruction. By proposing a variance transformation framework, this paper unifies existing pattern-based block sparse Bayesian learning methods, and