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Title: Image processing, adaptive gridding, and optimal nonlinear filtering techniques for particle-image velocimetry

Abstract

The authors have developed a methodology for extracting accurate, high-spatial-resolution measurements from large ensembles of particle-image pairs of a stationary flow.

Authors:
Publication Date:
Research Org.:
Sandia National Labs., Albuquerque, NM (US); Sandia National Labs., Livermore, CA (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
750922
Report Number(s):
SAND99-8263
TRN: AH200017%%205
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 Sep 1999
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; FLOW VISUALIZATION; VELOCIMETERS; IMAGE PROCESSING; DIGITAL FILTERS; NONLINEAR PROBLEMS

Citation Formats

E. B. Cummings. Image processing, adaptive gridding, and optimal nonlinear filtering techniques for particle-image velocimetry. United States: N. p., 1999. Web. doi:10.2172/750922.
E. B. Cummings. Image processing, adaptive gridding, and optimal nonlinear filtering techniques for particle-image velocimetry. United States. doi:10.2172/750922.
E. B. Cummings. Wed . "Image processing, adaptive gridding, and optimal nonlinear filtering techniques for particle-image velocimetry". United States. doi:10.2172/750922. https://www.osti.gov/servlets/purl/750922.
@article{osti_750922,
title = {Image processing, adaptive gridding, and optimal nonlinear filtering techniques for particle-image velocimetry},
author = {E. B. Cummings},
abstractNote = {The authors have developed a methodology for extracting accurate, high-spatial-resolution measurements from large ensembles of particle-image pairs of a stationary flow.},
doi = {10.2172/750922},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1999},
month = {9}
}