• DocumentCode
    3502358
  • Title

    Data modeling for radar applications

  • Author

    Jaenisch, Holger M. ; Handley, James W.

  • Author_Institution
    SPARTA Inc., Huntsville, AL, USA
  • fYear
    2003
  • fDate
    5-8 May 2003
  • Firstpage
    379
  • Lastpage
    386
  • Abstract
    This paper presents the process of data modeling for generating functional {[f(x)]n} models of algorithms or data set relationships in simple polynomial form. Data modeling has been applied to missing data reconstruction, signature synthesis, interpolation, data compression, classifier performance modeling, and adaptive feature selection. This paper highlights the mathematical process and successful applications.
  • Keywords
    data compression; interpolation; polynomials; radar signal processing; signal reconstruction; adaptive feature selection; classifier performance modeling; data compression; data modeling; data reconstruction; data set relationships; interpolation; polynomial form; radar applications; signature synthesis; 1f noise; Data models; Equations; Fractals; Gaussian noise; Interpolation; Polynomials; Predictive models; Radar applications; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2003. Proceedings of the 2003 IEEE
  • Print_ISBN
    0-7803-7920-9
  • Type

    conf

  • DOI
    10.1109/NRC.2003.1203429
  • Filename
    1203429