A physics-informed boundary integral network learns boundary pressure from microphone measurements and reconstructs the interior sound field, outperforming PINN and PIDL baselines in simulated rooms.
Theory and design of multizone soundfield reproduction using sparse methods,
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Sound Field Reconstruction Using Physics-Informed Boundary Integral Networks
A physics-informed boundary integral network learns boundary pressure from microphone measurements and reconstructs the interior sound field, outperforming PINN and PIDL baselines in simulated rooms.