"Weak-signal extraction enabled by deep-neural-network denoising of ..."

Jens Oppliger et al. (2022)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2209.09247

access: open

type: Informal or Other Publication

metadata version: 2022-09-29

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2209-09247
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2209-09247
Jens Oppliger, Michael M. Denner, Julia Küspert, Ruggero Frison, Qisi Wang, Alexander Morawietz, Oleh Ivashko, Ann-Christin Dippel, Martin von Zimmermann, Niels B. Christensen, Tohru Kurosawa, Naoki Momono, Migaku Oda, Fabian D. Natterer, Mark H. Fischer, Titus Neupert, Johan Chang:
Weak-signal extraction enabled by deep-neural-network denoising of diffraction data. CoRR abs/2209.09247 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.