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Permutation-Invariant Physics-Informed Neural Network for Region-to-Region Sound Field Reconstruction
Most existing sound field reconstruction methods target point-to-region reconstruction, interpolating the Acoustic Transfer Functions (ATFs) between a fixed-position sound source and a receiver region. The applicability of these methods is limited because real-world ATFs tend to varying continuously
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