• DocumentCode
    2623802
  • Title

    Likelihood-ratio detection

  • Author

    Aref, Mohammad R. ; Nayebi, Mohammad M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Isfahan Univ. of Tech., Iran
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    260
  • Abstract
    The composite hypothesis test for the case of unknown distribution for an unknown parameter is considered, and it is shown that the optimum test is the average likelihood ratio test with uniform fθ ; it is equivalent to the uniformly most powerful (UMP) test, if there is a UMP test for the problem, and it performs essentially better than the generalised likelihood ratio test
  • Keywords
    parameter estimation; signal detection; statistical analysis; UMP test; average likelihood ratio test; composite hypothesis test; generalised likelihood ratio test; optimum test; uniformly most powerful test; unknown distribution; unknown parameter; Density functional theory; Maximum likelihood detection; Maximum likelihood estimation; Noise level; Noise shaping; Page description languages; Performance evaluation; Shape; Signal detection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    0-7803-2015-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1994.395000
  • Filename
    395000
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2623802