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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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2008.8

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.2008.8REFERENCES

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