A general approach to evaluate the ensemble cross-correlation response for PIV using Kernel density estimation-Reference-Cited by-同舟云学术

A general approach to evaluate the ensemble cross-correlation response for PIV using Kernel density estimation

Published:2018-10-30 Issue:11 Volume:59 Page:
ISSN:0723-4864
Container-title:Experiments in Fluids
language:en
Short-container-title:Exp Fluids

Author:

Theunissen Raf^ORCID,Edwards Matthew

Publisher

Springer Science and Business Media LLC

Subject

Fluid Flow and Transfer Processes,General Physics and Astronomy,Mechanics of Materials,Computational Mechanics

Link

http://link.springer.com/article/10.1007/s00348-018-2627-8/fulltext.html

Reference42 articles.

1. Abramson IS (1982) On bandwidth variation in Kernel estimates—a square root law. Ann Stat 10(4):1217–1223. https://doi.org/10.1214/aos/1176345986

2. Adrian RJ (1988) Statistical properties of particle image velocimetry measurements in turbulent flow. In: Adrian RJ, Durao DFG, Durst F, Whitelaw JH (eds) Laser anemometry in fluid mechanics III. Insituto Superior Technico, Lisbon, pp 115–129

3. Astarita T (2007) Analysis of weighting windows for image deformation methods in PIV. Exp Fluids 43(6):859–872. https://doi.org/10.1007/s00348-007-0314-2

4. Astarita T, Cardone G (2005) Analysis of interpolation schemes for image deformation methods in PIV. Exp Fluids 38(2):233–243. https://doi.org/10.1007/s00348-004-0902-3

5. Di Florio D, Di Felice F, Romano GP (2002) Windowing, re-shaping and re-orientation interrogation windows in particle image velocimetry for the investigation of shear flows. Meas Sci Technol 13(7):953

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