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 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.

Automated summary

This paper reviews the applications of wavelet in aeroacoustics, focusing on three classes of wavelet-based signal processing procedures: conditional statistics, acoustic and hydrodynamic pressure separation, and stochastic modeling. The study analyzes experimental data taken in compressible jets, discussing future developments and possible generalization to other applications like airframe or propeller noise.