• DocumentCode
    1133826
  • Title

    Blind MEM PDF Estimation for Detection in the Presence of Unknown Non-Gaussian Noise

  • Author

    Saberali, S. Mohammad ; Amindavar, Hamidreza

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    16
  • Issue
    12
  • fYear
    2009
  • Firstpage
    1087
  • Lastpage
    1090
  • Abstract
    In this letter we develop a new blind binary level detection in presence of unknown non-Gaussian noise using maximum entropy method (MEM). We show that the performance of the designed detector based on blind maximum entropy (BME) method is near to the one that is designed based on best entropy estimate (BEE) criterion.
  • Keywords
    Gaussian noise; blind source separation; estimation theory; maximum entropy methods; probability; best entropy estimate criterion; blind MEM PDF estimation; blind binary level detection; blind maximum entropy method; designed detector; unknown nonGaussian noise; Maximum entropy method; maximum likelihood detection; non-Gaussian noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2009.2027568
  • Filename
    5164944
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1133826