• DocumentCode
    910881
  • Title

    Ambient noise statistics

  • Author

    Webster, Roger J.

  • Author_Institution
    Comput. Devices Canada, Ottawa, Ont., Canada
  • Volume
    41
  • Issue
    6
  • fYear
    1993
  • fDate
    6/1/1993 12:00:00 AM
  • Firstpage
    2249
  • Lastpage
    2253
  • Abstract
    Signal processing algorithms optimized for Gaussian noise may degrade significantly in a non-Gaussian noise environment. Therefore it is important to characterize the noise accurately before including its structure in the formulation of algorithms. A generic distribution suitable for modeling non-Gaussian ambient noise in the kurtosis range 1.8⩽β2⩽4.2 is derived
  • Keywords
    noise; signal processing; statistical analysis; generic distribution; kurtosis range; noise statistics; nonGaussian ambient noise; signal processing algorithms; Background noise; Chromium; Constraint theory; Covariance matrix; Gaussian noise; Lagrangian functions; Maximum likelihood estimation; Signal processing algorithms; Statistics; Working environment noise;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.218152
  • Filename
    218152
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=910881