Title :
Freestyle Data Fitting and Global Temperatures
Author :
Thijsse, Barend J. ; Rust, Bert W.
Author_Institution :
Delft Univ. of Technol., Delft
Abstract :
The method described in this paper is about separating 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.
Keywords :
source separation; splines (mathematics); computer program; freestyle bivariate data fitting; global temperature; mathematical model; signal separation; spline2; Algorithm design and analysis; Autocorrelation; Computer errors; Data engineering; Data mining; Gaussian processes; Polynomials; Shape; Spline; Temperature; algorithms; data fitting; global warming; noise;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2008.8
