Data-driven neural networks for source localization and reconstruction using a planar array

This study uses specialized deep neural networks comprising dense and convolutional neural networks to localize noise sources and reconstruct acoustic data on a reconstruction plane. The networks are trained on simulated acoustic data free from any form of noise in the signal. It is observed that ne...

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Veröffentlicht in:	International journal of aeroacoustics 2022-11, Vol.21 (8), p.684-707
Hauptverfasser:	Kaja, Sai Manikanta, Srinivasan, Srinath, Chaitanya, S. K., Srinivasan, K.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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