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eess.AS2025
Boundary-Informed Sound Field Reconstruction
David Sundström, Filip Elvander, Andreas Jakobsson
We consider the problem of reconstructing the sound field in a room using prior information of the boundary geometry, represented as a point cloud. In general, when no boundary inf…
eess.AS2024
Sound Field Estimation Using Deep Kernel Learning Regularized by the Wave Equation
David Sundström, Shoichi Koyama, Andreas Jakobsson
In this work, we introduce a spatio-temporal kernel for Gaussian process (GP) regression-based sound field estimation. Notably, GPs have the attractive property that the sound fiel…