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Recovery of saturated signal waveform acquired from high energy particles with artificial neural networks

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH | Updated：2021-02-01

- Recovery of saturated signal waveform acquired from high energy particles with artificial neural networks Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.30, Issue 10, (2019)
- Affiliations：
  
  School of Physical Science and Technology, Sichuan University,Chengdu,China,610064;Key Laboratory of Radiation Physics and Technology of Ministry of Education, Institute of Nuclear Science and Technology, Sichuan University,Chengdu,China,610065;Edinburgh Imaging, School of Clinical Sciences, University of Edinburgh,United Kingdom
- Author bio：
- Funds：
- DOI：10.1007/s41365-019-0677-0 CLC：
- Published：01 October 2019，
  
  Published Online：30 September 2019，
  
  Received：01 February 2019，
  
  Revised：02 May 2019，
  
  Accepted：09 May 2019
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Cite this article
Yu Liu, Jing-Jun Zhu, Neil Roberts, et al. Recovery of saturated signal waveform acquired from high energy particles with artificial neural networks. [J]. Nuclear Science and Techniques 30(10):148(2019)
DOI：

Yu Liu, Jing-Jun Zhu, Neil Roberts, et al. Recovery of saturated signal waveform acquired from high energy particles with artificial neural networks. [J]. Nuclear Science and Techniques 30(10):148(2019) DOI： 10.1007/s41365-019-0677-0.

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Recovery of saturated signal waveform acquired from high energy particles with artificial neural networks Cover Article Enhanced Publication