• DocumentCode
    1026435
  • Title

    Freestyle Data Fitting and Global Temperatures

  • Author

    Thijsse, Barend J. ; Rust, Bert W.

  • Author_Institution
    Delft Univ. of Technol., Delft
  • Volume
    10
  • Issue
    1
  • fYear
    2008
  • Firstpage
    49
  • Lastpage
    59
  • Abstract
    The method described in this paper is about separating signal (trend) from noise in a set of measured bivariate data when there is no mathematical model for that signal. A computer program called spline2 implements the algorithm, which the authors apply to laboratory and real-world example problems.
  • Keywords
    source separation; splines (mathematics); computer program; freestyle bivariate data fitting; global temperature; mathematical model; signal separation; spline2; Algorithm design and analysis; Autocorrelation; Computer errors; Data engineering; Data mining; Gaussian processes; Polynomials; Shape; Spline; Temperature; algorithms; data fitting; global warming; noise;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2008.8
  • Filename
    4418769
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1026435