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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Format: | Article |
Language: | English |
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MDPI AG
2021-08-01
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Series: | Fluids |
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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. |
first_indexed | 2024-03-10T08:49:51Z |
format | Article |
id | doaj.art-853cd13e1008465a84706e15be51e192 |
institution | Directory Open Access Journal |
issn | 2311-5521 |
language | English |
last_indexed | 2024-03-10T08:49:51Z |
publishDate | 2021-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Fluids |
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 |