• DocumentCode
    1217237
  • Title

    On circularity

  • Author

    Picinbono, Bernard

  • Author_Institution
    Lab. des Signaux et Syst., Gif-sur-Yvette, France
  • Volume
    42
  • Issue
    12
  • fYear
    1994
  • fDate
    12/1/1994 12:00:00 AM
  • Firstpage
    3473
  • Lastpage
    3482
  • Abstract
    Circularity is an assumption that was originally introduced for the definition of the probability distribution function of complex normal vectors. However, this concept can be extended in various ways for nonnormal vectors. The first purpose of the paper is to introduce and compare some possible definitions of circularity. From these definitions, it is also possible to introduce the concept of circular signals and to study whether or not the spectral representation of stationary signals introduces circular components. Therefore, the relationships between circularity and stationarity are analyzed in detail. Finally, the theory of linear mean square estimation for complex signals exhibits some connections with circularity, and it is shown that without this assumption, the estimation theory must be reformulated
  • Keywords
    parameter estimation; random processes; signal representation; spectral analysis; vectors; circular signals; complex normal vectors; complex signals; estimation theory; linear mean square estimation; probability distribution function; spectral representation; stationary signals; Covariance matrix; Distribution functions; Estimation theory; Frequency domain analysis; Probability distribution; Random variables; Signal analysis; Signal processing; Time domain analysis; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.340781
  • Filename
    340781