• DocumentCode
    2345860
  • Title

    On the theory and application of universal classification to signal detection

  • Author

    Warke, N. ; Orsak, G.C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA
  • fYear
    1994
  • fDate
    27-29 Oct 1994
  • Firstpage
    79
  • Abstract
    The authors apply methods of universal classification to the problem of classifying one of M deterministic signals in the presence of dependent non-Gaussian noise
  • Keywords
    noise; probability; signal detection; M-ary signal classification; asymptotic probability; dependent non-Gaussian noise; deterministic signals; signal detection; universal classification; Artificial intelligence; Data compression; Detectors; Electronic mail; Hydrogen; Quantization; Signal detection; Statistical analysis; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
  • Conference_Location
    Alexandria, VA
  • Print_ISBN
    0-7803-2761-6
  • Type

    conf

  • DOI
    10.1109/WITS.1994.513908
  • Filename
    513908
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2345860