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Issue No. 01 - January/February (2008 vol. 10)
ISSN: 1521-9615
pp: 49-59
Barend J. Thijsse , Delft University of Technology
Bert W. Rust , US National Institute for Standards and Technology
The method described here separates 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.
global warming, algorithms, data fitting, noise

B. J. Thijsse and B. W. Rust, "Freestyle Data Fitting and Global Temperatures," in Computing in Science & Engineering, vol. 10, no. , pp. 49-59, 2008.
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