• DocumentCode
    3015914
  • Title

    Properties and generation of non-Gaussian time series

  • Author

    Johnson, Don H. ; Rao, Patri Sreehari

  • Author_Institution
    Rice University, Houston, TX
  • Volume
    12
  • fYear
    1987
  • fDate
    6-9 April 1987
  • Firstpage
    37
  • Lastpage
    40
  • Abstract
    It is shown that non-Gaussian time series require new analysis methods to extract their structure. Spectral analysis does not seem to provide the precise information required to analyze important aspects of a time series. The conditional expected value can, in simple cases, be related to Components of the Barrett-Lampard expansion, which provides a mathematical tool for determining the system which can generate the time series.
  • Keywords
    Density measurement; Entropy; Gaussian noise; Laplace equations; Power measurement; Random sequences; Signal generators; Signal processing; Signal processing algorithms; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
  • Conference_Location
    Dallas, TX, USA
  • Type

    conf

  • DOI
    10.1109/ICASSP.1987.1169624
  • Filename
    1169624