Issue No. 01 - January/February (2008 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2008.8
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.