• DocumentCode
    3362795
  • Title

    M-ary detection of signals with unknown scales, times of arrival and amplitudes, new Bayesian approaches based on multiresolution

  • Author

    Duvaut, Patrick ; Tira, Zyed ; Brunel, Pierre ; Georgel, Bruno

  • Author_Institution
    ETIS-ENSEA, Cergy-Pontoise, France
  • fYear
    1994
  • fDate
    25-28 Oct 1994
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    The joint detection-estimation of signals with unknown scales, time of arrival and amplitude based on both Bayesian ideas and multiresolution is addressed. Two methods are introduced and applied to nuclear plant monitoring. The first approach elaborates generalized likelihood ratios (GLRs) and thus allows the reconstruction of the signals. The second procedure takes place after having processed a new oblique multiresolution (OMR) and is eventually an alternative to the GLRs when knowledge of the signals is reduced. The results obtained by both methods are promising
  • Keywords
    Bayes methods; alternators; computerised monitoring; estimation theory; fission reactor instrumentation; fission reactor safety; nuclear engineering computing; nuclear power stations; signal detection; signal reconstruction; signal resolution; Bayesian approaches; M-ary detection; amplitudes; generalized likelihood ratios; joint detection-estimation; multiresolution; nuclear plant monitoring; oblique multiresolution; reconstruction; times of arrival; unknown scales; Automation; Bayesian methods; Condition monitoring; Gaussian noise; Humans; Shape; Signal detection; Signal processing; Signal resolution; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-2127-8
  • Type

    conf

  • DOI
    10.1109/TFSA.1994.467253
  • Filename
    467253