On the Application of Wavelet Transform in Jet Aeroacoustics

Wavelet transform has become a common tool for processing non-stationary signals in many different fields. The present paper reports a review of some applications of wavelet in aeroacoustics with a special emphasis on the analysis of experimental data taken in compressible jets. The focus is on thre...

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Main Authors: Roberto Camussi, Stefano Meloni
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Fluids
Subjects:
Online Access:https://www.mdpi.com/2311-5521/6/8/299
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author Roberto Camussi
Stefano Meloni
author_facet Roberto Camussi
Stefano Meloni
author_sort Roberto Camussi
collection DOAJ
description Wavelet transform has become a common tool for processing non-stationary signals in many different fields. The present paper reports a review of some applications of wavelet in aeroacoustics with a special emphasis on the analysis of experimental data taken in compressible jets. The focus is on three classes of wavelet-based signal processing procedures: (i) conditional statistics; (ii) acoustic and hydrodynamic pressure separation; (iii) stochastic modeling. The three approaches are applied to an experimental database consisting of pressure time series measured in the near field of a turbulent jet. Future developments and possible generalization to other applications, e.g., airframe or propeller noise, are also discussed.
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spelling doaj.art-853cd13e1008465a84706e15be51e1922023-11-22T07:37:09ZengMDPI AGFluids2311-55212021-08-016829910.3390/fluids6080299On the Application of Wavelet Transform in Jet AeroacousticsRoberto Camussi0Stefano Meloni1Dipartimento di Ingegneria, Università Roma Tre, Via della Vasca Navale 79, 00146 Rome, ItalyDipartimento di Ingegneria, Università Roma Tre, Via della Vasca Navale 79, 00146 Rome, ItalyWavelet transform has become a common tool for processing non-stationary signals in many different fields. The present paper reports a review of some applications of wavelet in aeroacoustics with a special emphasis on the analysis of experimental data taken in compressible jets. The focus is on three classes of wavelet-based signal processing procedures: (i) conditional statistics; (ii) acoustic and hydrodynamic pressure separation; (iii) stochastic modeling. The three approaches are applied to an experimental database consisting of pressure time series measured in the near field of a turbulent jet. Future developments and possible generalization to other applications, e.g., airframe or propeller noise, are also discussed.https://www.mdpi.com/2311-5521/6/8/299waveletaeroacousticsconditional samplingstochastic modeling
spellingShingle Roberto Camussi
Stefano Meloni
On the Application of Wavelet Transform in Jet Aeroacoustics
Fluids
wavelet
aeroacoustics
conditional sampling
stochastic modeling
title On the Application of Wavelet Transform in Jet Aeroacoustics
title_full On the Application of Wavelet Transform in Jet Aeroacoustics
title_fullStr On the Application of Wavelet Transform in Jet Aeroacoustics
title_full_unstemmed On the Application of Wavelet Transform in Jet Aeroacoustics
title_short On the Application of Wavelet Transform in Jet Aeroacoustics
title_sort on the application of wavelet transform in jet aeroacoustics
topic wavelet
aeroacoustics
conditional sampling
stochastic modeling
url https://www.mdpi.com/2311-5521/6/8/299
work_keys_str_mv AT robertocamussi ontheapplicationofwavelettransforminjetaeroacoustics
AT stefanomeloni ontheapplicationofwavelettransforminjetaeroacoustics