Coefficients for Polynomial Least-squares Interpolation
Author: Turrell, George
Source: Applied Spectroscopy, Volume 36, Issue 1, Pages 1-76 (January/February 1982) , pp. 62-67(6)
Publisher: Society for Applied Spectroscopy
Abstract:
Experimental data in digital form are often subjected to refinement using a curve-fitting procedure. For example, the least-squares determination of the "best fit" straight line or polynomial of higher degree allows a functional representation of digital data to be unambiguously established. Furthermore, functions calculated in this way can serve as bases for subsequent data smoothing or interpolation.Keywords: Computer, applications; Techniques, spectroscopic
Document Type: Short communication
DOI: http://dx.doi.org/10.1366/0003702824639006
Affiliations: 1: BOMEM Inc., 910 place Dufour, Ville de Vanier, Québec GIM 3B1, Canada; present address: Laboratoire de Physique Moléculaire, Université de Limoges, 87060 Limoges, Cédex, France
Publication date: 1982-01-01
- The Society publishes the internationally recognized, peer reviewed journal, Applied Spectroscopy, which is available both in print and online. Subscriptions are included with membership or can be purchased by institutional or corporate organizations. Abstracts may be viewed free of charge. Previously published as Bulletin (Society for Applied Spectroscopy)
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