• DocumentCode
    3273735
  • Title

    Minimum complexity sequential multihypothesis detection

  • Author

    Kose, Cenk ; Goeckel, Dennis L. ; Wei, Shuangqing

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    18
  • Abstract
    Sequential multihypothesis testing techniques are considered that remove individual hypotheses from consideration as they become unlikely in order to minimize the “complexity” of the sequential test
  • Keywords
    Gaussian noise; computational complexity; error statistics; information theory; minimisation; probability; signal detection; white noise; minimum complexity test; sequential multihypothesis detection; sequential multihypothesis testing; signal detection; white Gaussian noise; Error probability; Frequency selective surfaces; Gaussian noise; Sequential analysis; Signal detection; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-7123-2
  • Type

    conf

  • DOI
    10.1109/ISIT.2001.935881
  • Filename
    935881
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3273735