• DocumentCode
    61210
  • Title

    Cramér-Rao Bound for Circular and Noncircular Complex Independent Component Analysis

  • Author

    Loesch, Benedikt ; Yang, Bin

  • Author_Institution
    Inst. of Signal Process. & Syst. Theor., Univ. Stuttgart, Stuttgart, Germany
  • Volume
    61
  • Issue
    2
  • fYear
    2013
  • fDate
    Jan.15, 2013
  • Firstpage
    365
  • Lastpage
    379
  • Abstract
    Despite an increased interest in complex independent component analysis (ICA) during the last two decades, a closed form expression for the Cramér-Rao bound (CRB) for the demixing matrix is not known yet. In this paper, we fill this gap by deriving a closed-form expression for the CRB of the demixing matrix for instantaneous noncircular complex ICA. It contains the CRB for circular complex ICA and noncircular complex Gaussian ICA as two special cases. We also study the CRB numerically for the family of noncircular complex generalized Gaussian distributions and compare it to simulation results of two ICA estimators. Furthermore, we show how to extend the CRB to the case where the source signals are not temporally independent and identically distributed.
  • Keywords
    Gaussian distribution; independent component analysis; matrix algebra; Cramér-Rao bound; Gaussian ICA; Gaussian distributions; circular complex ICA; demixing matrix; independent component analysis; noncircular complex ICA; Algorithm design and analysis; Closed-form solutions; Covariance matrix; Independent component analysis; Indexes; Probability density function; Vectors; Cramér-Rao bound; generalized Gaussian distribution; independent component analysis; noncircular complex;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2226166
  • Filename
    6338352