4 papers
Scale-covariant spiking wavelets
Jens Egholm Pedersen, Tony Lindeberg, Peter Gerstoft
We establish a theoretical connection between wavelet transforms and spiking neural networks through scale-space theory. We rely on the scale-covariant guarantees in the leaky inte…
Differentiable physics for sound field reconstruction
Samuel A. Verburg, Efren Fernandez-Grande, Peter Gerstoft
Sound field reconstruction involves estimating sound fields from a limited number of spatially distributed observations. This work introduces a differentiable physics approach for…
Machine Learning in Acoustics: A Review and Open-Source Repository
Ryan A. McCarthy, You Zhang, Samuel A. Verburg +2
Acoustic data provide scientific and engineering insights in fields ranging from bioacoustics and communications to ocean and earth sciences. In this review, we survey recent advan…
Distributed acoustic sensing for ocean applications
Angeliki Xenaki, Peter Gerstoft, Ethan Williams +1
Extensive monitoring of acoustic activities is important for many fields, including biology, security, oceanography, and Earth science. Distributed acoustic sensing (DAS) is an evo…