• DocumentCode
    2975389
  • Title

    Computing the range of variance-to-mean ratio under interval and fuzzy uncertainty

  • Author

    Lo, Sio-Long ; Xiang, Gang

  • Author_Institution
    Fac. of Inf. Technol., Macau Univ. of Sci. & Technol. (MUST), Taipa, China
  • fYear
    2011
  • fDate
    18-20 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In many practical problems such as radar imaging, it is useful to compute the variance-to-mean ratio. The need is important because for the sum of k identical independent signal components, both the variance and the mean are multiplied by k, so this ratio is independent on k and thus, provides useful information about the components. In practice, we only know the samples values with uncertainty. It is therefore necessary to compute the variance-to-mean ratio under this uncertainty. In this paper, we present efficient algorithms for computing this ratio under interval and fuzzy uncertainty.
  • Keywords
    fuzzy set theory; signal processing; statistical distributions; fuzzy uncertainty; identical independent signal components; interval uncertainty; variance-to-mean ratio; Algorithm design and analysis; Dispersion; Mathematical model; Noise; Radar imaging; Sorting; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
  • Conference_Location
    El Paso, TX
  • ISSN
    Pending
  • Print_ISBN
    978-1-61284-968-3
  • Electronic_ISBN
    Pending
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2011.5752040
  • Filename
    5752040