Sparse signal reconstruction from noisy compressive measurements using cross validation

IEEE Workshop on Statistical Signal Processing Proceedings

Volumn , Issue , 2007, Pages 299-303

  Boufounos, Petros ^a   Duarte, Marco F ^a   Baraniuk, Richard G ^a  

^a Rice University   (United States)

Author keywords

Data acquisition; Data models; Parameter estimation; Sampling methods; Signal reconstruction

Indexed keywords

DATA ACQUISITION; DATA STRUCTURES; INCOMPRESSIBLE FLOW; MATHEMATICAL MODELS; MERGERS AND ACQUISITIONS; METAL ANALYSIS; PARAMETER ESTIMATION; REPAIR; RESTORATION; SAMPLING; SIGNAL ANALYSIS; SIGNAL RECONSTRUCTION; SIGNAL TO NOISE RATIO; TECHNICAL PRESENTATIONS;

ACQUIRED SIGNALS; ALGORITHMIC PARAMETERS; COMPRESSIVE SENSING; CROSS VALIDATIONS; CURRENT RECONSTRUCTIONS; DATA MODELS; INFORMATION RATES; MEASUREMENT NOISES; NOISE POWERS; NYQUIST RATES; OPTIMIZATION ALGORITHMS; RECONSTRUCTION ALGORITHMS; RECONSTRUCTION ERRORS; SAMPLING AND RECONSTRUCTIONS; SAMPLING METHODS; SPARSE SIGNAL RECONSTRUCTIONS; VALIDATION SETS;

SIGNAL PROCESSING;

EID: 47849083545     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SSP.2007.4301267     Document Type: Conference Paper

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