• DocumentCode
    2994741
  • Title

    Sequentially operating finite memory detectors

  • Author

    Baxa, E.G. ; Nolte, L.W.

  • Author_Institution
    Research Triangle Institute, North Carolina
  • fYear
    1970
  • fDate
    7-9 Dec. 1970
  • Firstpage
    74
  • Lastpage
    74
  • Abstract
    The Bayesian approach in signal detection theory generally yields detectors with memory which contains appropriate statistics used in producing a detection output. This memory summarizes each available observation in terms of precisely representable continuous variables. Precise representation of any real number requires an infinity of digits which in turn means an infinite soft or changeable memory requirement. This presentation provides a procedure for design of sequentially operating finite memory detectors applicable to the open-ended type detection problem. The approach is applied to a general class of problems including the Signal-Known-Exactly (SKE), Signal-Known-Except-Amplitude (SKEA), and the M-ary signaling problems. Results presented compare the detection performance of the finite and optimum infinite memory detector designs using the Receiver Operating Characteristic (ROC).
  • Keywords
    Bayesian methods; Detectors; Equations; Probability density function; Probes; Signal design; Signal detection; Statistics; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Processes (9th) Decision and Control, 1970. 1970 IEEE Symposium on
  • Conference_Location
    Austin, TX, USA
  • Type

    conf

  • DOI
    10.1109/SAP.1970.269963
  • Filename
    4044618