• DocumentCode
    434221
  • Title

    Mathematical model of nongaussian vectorial signals and images

  • Author

    Gruzman, I.S. ; Kurilin, I.V.

  • fYear
    2004
  • fDate
    21-24 Sept. 2004
  • Firstpage
    247
  • Lastpage
    247
  • Abstract
    In paper the approach to modeling heterogeneous signals and images is described. The example of multilevel piece-constant and binary images description is presented. For the description of the heterogeneous, phenomena, the <> random binary Markov process is used. Hence, procedure of detection of heterogeneous features is reduced to the filtration of <> signal. Results of the real images processing, based on the submitted models is presented.
  • Keywords
    Algorithm design and analysis; Amplitude estimation; Analytical models; Frequency estimation; Gaussian noise; Mathematical model; Object recognition; Optical distortion; Phase estimation; Radio navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Instrument Engineering Proceedings, 2004. APEIE 2004. 2004 7th International Conference on Actual Problems of
  • Conference_Location
    Novosibirsk, Russia
  • Print_ISBN
    0-7803-8476-8
  • Type

    conf

  • Filename
    1427381