Karl Schrader

PHASE-RETRIEVAL-BASED PHYSICS-INFORMED NEURAL NETWORKS FOR ACOUSTIC MAGNITUDE FIELD RECONSTRUCTION

We propose a method for estimating the magnitude distribution of an acoustic field from spatially sparse magnitude measurements. Such a method is useful when phase measurements are unreliable or inaccessible. Physics-informed neural networks (PINNs) have shown promise for sound field estimation by i…