• DocumentCode
    2393628
  • Title

    A shortcut numerical simulation approach for colored non-Gaussian processes

  • Author

    Wang, Pingbo ; Tang, Suofu ; Ma, Chaoyang ; Liu, Yue

  • Author_Institution
    Underwater Acoust. Lab., Naval Univ. of Eng., Wuhan, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    1660
  • Lastpage
    1663
  • Abstract
    Utilizing the composite sampling method, non-Gaussian processes with additive distribution form can be generated. By means of assignment of couples of poles on the zero-pole plot, the low order autoregressive filter which used in the qualitative colorizing can be realized. Passing non-Gaussian driving through autoregressive filter, the colored non-Gaussian processes which are often used in simulation research of non-Gaussian signal processing can be gotten. A numerical simulation instance of colored Gaussian mixture is given to illustrate the performance of this approach of combing composite sampling and qualitative colorizing.
  • Keywords
    sampling methods; signal processing; additive distribution form; colored Gaussian mixture; colored nonGaussian processes; composite sampling method; low order autoregressive filter; nonGaussian signal processing; numerical simulation; qualitative colorizing; zero-pole plot; Additives; Fitting; Numerical models; Numerical simulation; Probability density function; Sampling methods; Shape; Autoregressive filter; Composite sampling; Gaussian mixture; Non-Gaussian; Non-white;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223360
  • Filename
    6223360