Bayesian compressive sensing of wavelet coefficients using multiscale Laplacian priors

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2009, Pages 229-232

  Vera, Esteban ^a   Mancera, Luis ^b   Babacan, S Derin ^c   Molina, Rafael ^b   Katsaggelos, Aggelos K ^c  

^a UNIVERSITY OF CONCEPCIÓN   (Chile)

^b UNIVERSITY OF GRANADA   (Spain)

^c Northwestern University   (United States)

Author keywords

Bayesian methods; Compressive sensing; Signal reconstruction; Wavelet transforms

Indexed keywords

BAYESIAN; BAYESIAN FORMULATION; BAYESIAN METHODS; COMPRESSIVE SENSING; INHOMOGENEITIES; LAPLACIANS; MULTISCALES; NOVEL ALGORITHM; RECONSTRUCTION ALGORITHMS; RUNNING TIME; SENSING SIGNALS; STATE-OF-THE-ART METHODS; SUB-BANDS; WAVELET COEFFICIENTS;

ALGORITHMS; BAYESIAN NETWORKS; IMAGE RECONSTRUCTION; LAPLACE TRANSFORMS; REPAIR; SIGNAL ANALYSIS; SIGNAL PROCESSING;

WAVELET TRANSFORMS;

EID: 72349085238     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2009.5278598     Document Type: Conference Paper

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