Search Results for author: Götz Bokelmann

Found 1 papers, 0 papers with code

Separating and denoising seismic signals with dual-path recurrent neural network architecture

no code implementations24 Nov 2020 Artemii Novoselov, Peter Balazs, Götz Bokelmann

We show that separation is possible also for seismic recordings, using techniques from machine learning (and even those recorded with a single sensor).<br />This may have an impact on seismic applications such as <br />ambient noise tomography, induced seismicity, earthquake analysis, aftershock analysis, nuclear verification, and seismoacoustics/infrasound.<br />The machine learning technique that we use for seismic signal separation is based on a dual-path recurrent neural network which is applied directly to the time domain data.

BIG-bench Machine Learning Denoising +1

Cannot find the paper you are looking for? You can Submit a new open access paper.