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Updated: May 10, 2026

Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
Published on: February 27, 2016
On autocorrelation analysis of jet noise
Blaine M Harker1, Kent L Gee, Tracianne B Neilsen
1Department of Physics and Astronomy, Brigham Young University, Provo, Utah 84602, USA. blaineharker@gmail.com
Abstract:
Meaningful use of the autocorrelation in jet noise analysis is examined. The effect of peak frequency on the autocorrelation function width is removed through a temporal scaling prior to making comparisons between measurements or drawing conclusions about source characteristics. In addition, a Hilbert transform-based autocorrelation envelope helps to define consistent characteristic time scales. Application of these processes to correlation functions based on large and fine-scale similarity spectra reveal that the large-scale noise radiation from an F-22A deviates from the similarity spectrum model.
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