5 papers
Encoding and Decoding Temporal Signals with Spiking Bandpass Wavelets
Jens Egholm Pedersen, Tony Lindeberg, Peter Gerstoft
Spike-based encodings are sparse and energy-efficient, but have largely been formulated probabilistically, disconnected from most signal processing literature. We recast spike enco…
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…
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…
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…