Search Results for author:
Found 4 papers, 1 papers with code
Physics-Informed Neural Network for Volumetric Sound field Reconstruction of Speech Signals
Recent developments in acoustic signal processing have seen the integration of deep learning methodologies, alongside the continued prominence of classical wave expansion-based approaches, particularly in sound field reconstruction.
Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network
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.
Ground State Properties in the Quasi-Classical Regime
We study the ground state energy and ground states of systems coupling non-relativistic quantum particles and force-carrying Bose fields, such as radiation, in the quasi-classical approximation.
Mathematical Physics Mathematical Physics
Site-selection criteria for the Einstein Telescope
The Einstein Telescope (ET) is a proposed next-generation, underground gravitational-wave (GW) detector to be based in Europe.
Instrumentation and Detectors General Relativity and Quantum Cosmology
