• DocumentCode
    917208
  • Title

    Nonparametric detectors based on m-interval partitioning

  • Author

    Ching, Yau Chau ; Kurz, Ludwik

  • Volume
    18
  • Issue
    2
  • fYear
    1972
  • fDate
    3/1/1972 12:00:00 AM
  • Firstpage
    251
  • Lastpage
    257
  • Abstract
    A new class of nonparametric detectors based on m - interval partitioning is introduced. It is easier to treat analytically and implement practically than the widely used class of nonparametric detectors based on rank partitioning of the received signal space. In addition, these new detectors are robust or relatively insensitive to the underlying noise distribution. If the quantiles of the noise distribution are known exactly, the structure of the detector is particularly simple. Some general results for an adaptive system, when the quantiles of the noise distribution must be estimated, were also obtained.
  • Keywords
    Nonparametric detection; Adaptive systems; Detectors; Gaussian noise; Noise robustness; Signal analysis; Signal detection; Statistical analysis; Statistical distributions; Testing; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.1972.1054788
  • Filename
    1054788