Compressive sensing based machine learning strategy for characterizing the flow around a cylinder with limited pressure measurements

Physics of Fluids

Volumn 25, Issue 12, 2013, Pages

  Bright, Ido ^a   Lin, Guang ^b   Kutz, J Nathan ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPRESSED SENSING; DECODING; ENCODING (SYMBOLS); FLOW FIELDS; PRESSURE MEASUREMENT; REYNOLDS NUMBER; SIGNAL ENCODING; SUPERVISED LEARNING;

COMPRESSIVE SENSING; FLOW AROUND A CYLINDER; FLOW CHARAC-TERISTICS; FLOW FIELD RECONSTRUCTION; L1 OPTIMIZATIONS; REDUCED DYNAMICS; SUPERVISED MACHINE LEARNING; TURBULENT REGIME;

CYLINDERS (SHAPES);

EID: 84891620129     PISSN: 10706631     EISSN: 10897666     Source Type: Journal    
DOI: 10.1063/1.4836815     Document Type: Article

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