Magnetotelluric noise attenuation network

HIGHLIGHTS

  • who: Using a Deep Residual and collaborators from the School of Geoscience and Info-Physics, Central South University, Changsha, China have published the Article: Magnetotelluric Noise Attenuation Network, in the Journal: Minerals 2022, 12, 1086. of /2022/
  • what: The authors propose novel time-series editing method based on the network (DRSN) to address this issue. The authors compare the normalized mutual correlations (NCCs) of the denoising results obtained by different methods in Table 1. As Table 1 shows, the result obtained by the method has the highest NCC and SNR, so the approach has the . . .

     

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