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most citedImplicit neural representation with physics-informed neural networks for the reconstruction of the early part of room impulse responses

25 citations · 46 across the 19 of their papers we have counts for

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cs.SD2021

Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network

Marco Olivieri, Mirco Pezzoli, Fabio Antonacci +1

Near-field Acoustic Holography (NAH) is a well-known problem aimed at estimating the vibrational velocity field of a structure by means of acoustic measurements. In this paper, we…