Bayesian compressive sensing for cluster structured sparse signals

Signal Processing

Volumn 92, Issue 1, 2012, Pages 259-269

  Yu, L ^a,b   Sun, H ^a   Barbot, J P ^b,c   Zheng, G ^c  

^a WUHAN UNIVERSITY   (China)

^b ENSEA   (France)

^c INRIA   (France)

Author keywords

Cluster structured sparse signals; Compressive sensing; Hierarchical Bayesian model; MCMC

Indexed keywords

CLUSTERED STRUCTURE; COMPRESSIVE SENSING; FREQUENCY DOMAINS; HIERARCHICAL BAYESIAN MODEL; HIERARCHICAL BAYESIAN MODELS; MARKOV CHAIN MONTE CARLO; MCMC; NUMBER OF CLUSTERS; PRIOR INFORMATION; SPARSE PRIOR; SPARSE SIGNALS; STATE-OF-THE-ART ALGORITHMS; TREE STRUCTURES; WAVELET COEFFICIENTS;

BAYESIAN NETWORKS; INVERSE PROBLEMS; MARKOV PROCESSES; SIGNAL RECONSTRUCTION; TREES (MATHEMATICS);

CLUSTERING ALGORITHMS;

EID: 80052297409     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2011.07.015     Document Type: Article

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