• DocumentCode
    927495
  • Title

    Exact and approximate filtering in signal detection: An example (Corresp.)

  • Author

    Davis, Mark H A ; Andreadakis, Elias

  • Volume
    23
  • Issue
    6
  • fYear
    1977
  • fDate
    11/1/1977 12:00:00 AM
  • Firstpage
    768
  • Lastpage
    772
  • Abstract
    The innovations approach in communication theory solves the signal detection problem in terms of a related nonlinear filter. Simulation data is presented which shows that, at least for one example, using the appropriate linear filter instead results in a very small loss of detection power even though the variance of the linear filter is considerably greater than that of the nonlinear one. The results also illuminate the role of "predictable processes" in communication theory.
  • Keywords
    Estimation; Innovations methods (stochastic processes); Nonlinear estimation; Poisson processes; Signal detection; Communication system control; Filtering theory; Information theory; Nonlinear filters; Process control; Random processes; Signal detection; Statistics; Technological innovation; Testing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1977.1055783
  • Filename
    1055783