Physics-guided machine learning reconstruction of modal structure in the seabed characterization experiments
Accurate extraction of normal modes from underwater acoustic data is relevant for seabed characterization and geoacoustic analysis. In this context, efficiently predicting these depth-dependent mode structures is critical for understanding the acoustic field. Standard signal processing techniques for extracting these f...