• DocumentCode
    1900338
  • Title

    Generalized complex elliptical distributions

  • Author

    Ollila, Esa ; Koivunen, Visa

  • Author_Institution
    Signal Process. Lab., Helsinki Univ. of Technol., Finland
  • fYear
    2004
  • fDate
    18-21 July 2004
  • Firstpage
    460
  • Lastpage
    464
  • Abstract
    We introduce a new class of distributions called generalized complex elliptically symmetric distributions. Several distributions commonly used in the literature, for example, the multivariate complex normal and Cauchy and the generalized complex normal distribution, are prominent members of this class. The treatment covers both proper and improper random vectors and goes beyond second-order concepts in defining the distribution model. Some properties of these distributions are studied and illustrative examples of their applications in multichannel signal processing are presented such as tests for circularity.
  • Keywords
    normal distribution; random processes; signal processing; telecommunication channels; GCES; generalized complex elliptically symmetric distribution; multichannel signal processing; random vector; second-order concept; Application software; Array signal processing; Covariance matrix; Laboratories; Probability density function; Sensor arrays; Signal processing; Spectral analysis; Symmetric matrices; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2004
  • Print_ISBN
    0-7803-8545-4
  • Type

    conf

  • DOI
    10.1109/SAM.2004.1502990
  • Filename
    1502990