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Efficient sensing of von Kármán vortices using compressive sensing
Cihan Bayındır
*
, Barış Namlı
*
Corresponding author for this work
Department of Civil Engineering
Bogazici University
CERN
Istanbul Technical University
Research output
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Contribution to journal
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Article
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peer-review
13
Citations (Scopus)
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Keyphrases
Compressed Sensing
100%
Vortex
100%
Flow Field
75%
Compressive Sampling
50%
Offshore Structures
25%
Measure Controls
25%
Fourier Spectrum
25%
Coastal Structures
25%
Usage Areas
25%
Transport Equation
25%
Flow Injection Analysis
25%
Measurement Analysis
25%
Bose-Einstein Condensation
25%
Flow Measurement
25%
Efficient Measurement
25%
Efficient Analysis
25%
Bridge Aerodynamics
25%
Shannon Sampling
25%
Sampling numbers
25%
Engineering
Vortex
100%
Compressive Sensing
100%
Flow Distribution
75%
Compressive Sampling
50%
Offshore Structure
25%
Vibration Analysis
25%
Flow Analysis
25%
Vibration Control
25%
Physics
Flow Distribution
100%
Transport Theory
33%
Flow Analysis
33%
Flow Measurement
33%
Vibration Control
33%
Vibration Analysis
33%
Bose-Einstein Condensation
33%
Mathematics
Flow Field
100%
Circle
33%
Transport Equation
33%
Einstein Condensation
33%
Ellipse
33%
Control Measure
33%
Chemical Engineering
Flow Measurement
100%