Note: Gaussian mixture model for event recognition in optical time-domain reflectometry based sensing systems.

@article{Fedorov2016NoteGM,
  title={Note: Gaussian mixture model for event recognition in optical time-domain reflectometry based sensing systems.},
  author={Aleksey K. Fedorov and M. N. Anufriev and A. A. Zhirnov and K. V. Stepanov and E. T. Nesterov and Dmitry Namiot and V. E. Karasik and Alexey B. Pnev},
  journal={The Review of scientific instruments},
  year={2016},
  volume={87 3},
  pages={
          036107
        }
}
  • Aleksey K. Fedorov, M. N. Anufriev, +5 authors Alexey B. Pnev
  • Published in
    The Review of scientific…
    2016
  • Medicine, Physics
  • We propose a novel approach to the recognition of particular classes of non-conventional events in signals from phase-sensitive optical time-domain-reflectometry-based sensors. Our algorithmic solution has two main features: filtering aimed at the de-nosing of signals and a Gaussian mixture model to cluster them. We test the proposed algorithm using experimentally measured signals. The results show that two classes of events can be distinguished with the best-case recognition probability close… CONTINUE READING

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