English

Event-based Signal Processing for Radioisotope Identification

Signal Processing 2020-10-05 v2

Abstract

This paper identifies the problem of unnecessary high power overhead of the conventional frame-based radioisotope identification process and proposes an event-based signal processing process to address the problem established. It also presents the design flow of the neuromorphic processor.

Keywords

Cite

@article{arxiv.2007.05686,
  title  = {Event-based Signal Processing for Radioisotope Identification},
  author = {Xiaoyu Huang and Edward Jones and Siru Zhang and Steve Furber and Yannis Goulermas and Edward Marsden and Ian Baistow and Srinjoy Mitra and Alister Hamilton},
  journal= {arXiv preprint arXiv:2007.05686},
  year   = {2020}
}

Comments

4 pages, 7 figures, sixth international conference of Event-Based Control, Communication and Signal Processing

R2 v1 2026-06-23T17:02:17.403Z