• DocumentCode
    1037512
  • Title

    Asymptotic normality of some Hermitian forms with complex noisy data

  • Author

    Brouaye, F.

  • Author_Institution
    Lab. des Signaux et Syst., CNRS, Gif-sur-Yvette, France
  • Volume
    40
  • Issue
    1
  • fYear
    1994
  • fDate
    1/1/1994 12:00:00 AM
  • Firstpage
    236
  • Lastpage
    239
  • Abstract
    Hermitian forms with complex random data arise in some areas of physics when one studies the effect of the noise in some frequency interval. In this context, a central-limit theorem is proved for independent Gaussian variables in the complex plane. The non-Gaussian case is also studied and the same result holds provided that the fourth-order moments are bounded
  • Keywords
    matrix algebra; numerical analysis; parameter estimation; random noise; signal processing; stochastic processes; Hermitian forms; bounded fourth-order moments; central-limit theorem; complex noisy data; complex random data arise; frequency interval; independent Gaussian variables; nonGaussian case; Covariance matrix; Frequency measurement; Length measurement; Network address translation; Phase noise; Physics; Random variables; Sampling methods; Signal analysis; Symmetric matrices;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.272489
  • Filename
    272489