3 papers
eess.AS2025
Sound field estimation with moving microphones using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Ãstergaard +3
Sound field estimation with moving microphones can increase flexibility, decrease measurement time, and reduce equipment constraints compared to using stationary microphones. In th…
eess.AS2025
Time-domain sound field estimation using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Ãstergaard +3
Sound field estimation methods based on kernel ridge regression have proven effective, allowing for strict enforcement of physical properties, in addition to the inclusion of prior…
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…