Adaptive vector validation in image velocimetry to minimise the influence of outlier clusters

@inproceedings{Masullo2016AdaptiveVV,
  title={Adaptive vector validation in image velocimetry to minimise the influence of outlier clusters},
  author={Alessandro Masullo and Raf Theunissen},
  year={2016}
}

References

Publications referenced by this paper.
SHOWING 1-10 OF 41 REFERENCES

Universal outlier detection for PIV data

  • J Westerweel, F Scarano
  • Exp Fluids
  • 2005
Highly Influential
9 Excerpts

Universal outlier detection for particle image velocimetry (PIV) and particle tracking velocimetry (PTV) data

  • J Duncan, D Dabiri, J Hove, M Gharib
  • Meas Sci Technol
  • 2010
Highly Influential
4 Excerpts

PIV application to Mach 3.75 overexpanded jet

  • A Jerónimo, ML Riethmuller, O Chazot
  • Proceedings 11th international symposium on…
  • 2002
Highly Influential
2 Excerpts

Experimental and numerical investigation of two-dimensional parallel jets

  • E Anderson, R Spall
  • J Fluids Eng
  • 2001
Highly Influential
2 Excerpts

Investigation of two parallel unventilated jets

  • YF Lin, MJ Sheu
  • Exp Fluids
  • 1990
Highly Influential
2 Excerpts

The interference of two dimensional parallel jets: 1st report, experiments on a dual jet

  • E Tanaka
  • Bull JSME
  • 1970
Highly Influential
2 Excerpts

On PIV random error minimization with optimal POD-based low-order reconstruction

  • M Raiola, S Discetti, A Ianiro
  • Exp Fluids
  • 2015
2 Excerpts

Proper orthogonal decomposition based outlier correction for PIV data

  • H Wang, Q Gao, L Feng, R Wei, J Wang
  • Exp Fluids
  • 2015
2 Excerpts

Adaptive gappy proper orthogonal decomposition for particle image velocimetry data reconstruction

  • SG Raben, JJ Charonko, PP Vlachos
  • Meas Sci Technol
  • 2012
1 Excerpt

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