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Issue No.01 - January/February (2008 vol.10)
pp: 49-59
Barend J. Thijsse , Delft University of Technology
Bert W. Rust , US National Institute for Standards and Technology
ABSTRACT
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.
INDEX TERMS
global warming, algorithms, data fitting, noise
CITATION
Barend J. Thijsse, Bert W. Rust, "Freestyle Data Fitting and Global Temperatures", Computing in Science & Engineering, vol.10, no. 1, pp. 49-59, January/February 2008, doi:10.1109/MCSE.2008.8
REFERENCES
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13. M.E. Schlesinger and N. Ramankutty, "An Oscillation in the Global Climate System of Period 65–70 Years," Nature, vol. 367, Feb. 1994, pp. 723–726.
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