Adaptive Cluster Structured Sparse Bayesian Learning with Application to Compressive Reconstruction for Chirp Signals
Abstract: Highlights•A CS-based sampling system is constructed based on fractional gabor transform.•The adaptive cluster structured sparse bayesian learning algorithm is proposed.•An adaptive strategy is further proposed to alleviate the reconstruction failure.•Numerical experiments are conducted to test the effectiveness.
External IDs:dblp:journals/sigpro/WangMWW22
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