• DocumentCode
    478339
  • Title

    SSART Being Applied to Approaching Accurate Values of High Frequency Field

  • Author

    Wei, Benzheng ; Song, Yizhong ; Zhao, Zhimin

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • Volume
    5
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    119
  • Lastpage
    123
  • Abstract
    Simple self-correlative algebraic reconstruction technique (SSART) was applied to reconstructing a high frequency field. It was tested to approach the accurate values with sufficient projections. A high frequency field was designed. It was simulated to project in all directions. Two cross projections was selected to reconstruct the field by SSART. Then, projections were increased step by step. The reconstructed results were studied. As a result, high frequency sections are distorted a lot. With a few projections, the reconstructed result loses the basic characteristics of the model. With projections increasing, the distortion gets lighter and lighter. Near the critical projections, the reconstructed field becomes similar to the model except some high frequency sections. When eighty-four projections are employed, the reconstructed result is in accord with the model. In this case, the mean square error (MSE) is 0.00000011, and the peak error (PE) is 0.000048%. As we know, this is most accurate reconstruction to now. SSART can accurately reconstruct the high frequency field.
  • Keywords
    algebra; image reconstruction; iterative methods; mean square error methods; algebraic iteration; high frequency field reconstruction; high frequency section; mean square error; peak error; simple self-correlative algebraic reconstruction technique; Art; Frequency; Gaussian processes; Industry applications; Nonlinear distortion; Numerical simulation; Poles and towers; Subspace constraints; Testing; Tomography; Algebraic iteration; Numerical simulation; high frequency field; projection; reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.811
  • Filename
    4667409