When dealing with particle image velocimetry data sets with a relatively poor signal-to-noise ratio, averaged velocity fields are often the only achievable result. These average fields can be determined in a number of ways, of which correlation averaging has become the most prominent. We show that for instationary flows, the use of correlation averaging can lead to unreliable results: summation of individual correlation peaks from a transient flow creates a broadened peak. The location of the maximum of this peak generally does not coincide with the true temporal mean displacement. We propose to use the centroid of the correlation result as a better estimator. This method is demonstrated with simulated and experimental data, showing that it gives more reliable results, at the price of a small increase in noise level. For relatively small displacements, where the conventional method is not biased, the method is less suitable due to this increase in noise. Therefore, a straightforward hybrid method optimizes the displacement estimation for optimal results.
Experiments in Fluids – Springer Journals
Published: Nov 14, 2010
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera