Issue No.01 - January/February (2008 vol.10)
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
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
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