• DocumentCode
    3531749
  • Title

    A machine-learning approach to time discrimination

  • Author

    Hansen, Peter

  • Author_Institution
    Siemens Mol. Imaging, Knoxville, TN, USA
  • fYear
    2010
  • fDate
    Oct. 30 2010-Nov. 6 2010
  • Firstpage
    2132
  • Lastpage
    2133
  • Abstract
    Machine-Learning methods can be used to provide fast and accurate time discrimination of pulses from detectors used in medical scanner applications. This approach uses multiple samples before and after a pulse crosses a threshold to estimate the starting time of an input pulse.
  • Keywords
    learning (artificial intelligence); medical computing; input pulse; machine-learning methods; medical scanner applications; time discrimination; Computational fluid dynamics; Finite impulse response filter; Information filters; Low pass filters; Noise; Timing; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
  • Conference_Location
    Knoxville, TN
  • ISSN
    1095-7863
  • Print_ISBN
    978-1-4244-9106-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2010.5874156
  • Filename
    5874156
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3531749