Data-driven neural networks for source localization and reconstruction using a planar array
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Aeroacoustics"
DOI: 10.1177/1475472x221136884
Abstract: 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… read more here.
Keywords: acoustic data; neural networks; driven neural; source ... See more keywords
Coherent modulation imaging using a physics-driven neural network.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.472083
Abstract: Coherent modulation imaging (CMI) is a lessness diffraction imaging technique, which uses an iterative algorithm to reconstruct a complex field from a single intensity diffraction pattern. Deep learning as a powerful optimization method can be… read more here.
Keywords: network; modulation imaging; physics; coherent modulation ... See more keywords