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DOE OSTI · 3030373

Model Card for WaveDP

Abstract

WaveDP was trained using both earthquake signals and pure noise waveforms from the Stanford Earthquake Dataset (STEAD). The model achieved a median signal-to-noise ratio (SNR) improvement of 7 dB. Because the model uses seismograms as direct input, the model is four times faster than an existing model for signal denoising that uses spectral representations of seismograms as input.

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Chai, Chengping [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000267926014), Rose, Derek [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000252174374), Stewart, Scott [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000343205818), Martindale, Nathan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000250365433), Adams, Mark [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000254142800), Torres Polanco, Anibely [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000152182174), Linville, Lisa [Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)], Stanley, Christopher [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000242267710), Bingham, Philip [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000346166084). 2025-12-01. Model Card for WaveDP. https://doi.org/10.2172/3030373

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