Interpolation of multidimensional random processes with application to fluid flow

Jialin Zhong, Ronald J. Adrian, Thomas S. Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper investigates vector-valued multidimensional random process interpolation with application to interpolating the velocity fields of turbulent fluid flow. Three-dimensional particle positions in a turbulent flow can be measured experimentally. We model the velocity field as a vector-valued multidimensional random field. Based on this model, an algorithm to interpolate the velocity field of a turbulent flow is developed, which minimizes the mean squares error of linear estimation from known velocity points, utilizing special characteristics of the spectrum of turbulence.

Original languageEnglish (US)
Title of host publicationImage and Multidimensional Signal Processing
PublisherPubl by IEEE
PagesV-181-V-184
ISBN (Print)0780309464
StatePublished - Jan 1 1993
EventIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5) - Minneapolis, MN, USA
Duration: Apr 27 1993Apr 30 1993

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
ISSN (Print)0736-7791

Other

OtherIEEE International Conference on Acoustics, Speech and Signal Processing, Part 5 (of 5)
CityMinneapolis, MN, USA
Period4/27/934/30/93

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Zhong, J., Adrian, R. J., & Huang, T. S. (1993). Interpolation of multidimensional random processes with application to fluid flow. In Image and Multidimensional Signal Processing (pp. V-181-V-184). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 5). Publ by IEEE.