Paper
14 December 2016 Study regarding the spline interpolation accuracy of the experimentally acquired data
Author Affiliations +
Proceedings Volume 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII; 1001007 (2016) https://doi.org/10.1117/12.2242996
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies 2016, 2016, Constanta, Romania
Abstract
Experimental data processing is an issue that must be solved in almost all the domains of science. In engineering we usually have a large amount of data and we try to extract the useful signal which is relevant for the phenomenon under investigation. The criteria used to consider some points more relevant then some others may take into consideration various conditions which may be either phenomenon dependent, or general. The paper presents some of the ideas and tests regarding the identification of the best set of criteria used to filter the initial set of points in order to extract a subset which best fits the approximated function. If the function has regions where it is either constant, or it has a slow variation, fewer discretization points may be used. This means to create a simpler solution to process the experimental data, keeping the accuracy in some fair good limits.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emil M. Oanta, Alin Danisor, and Razvan Tamas "Study regarding the spline interpolation accuracy of the experimentally acquired data", Proc. SPIE 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII, 1001007 (14 December 2016); https://doi.org/10.1117/12.2242996
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Data processing

Data acquisition

Data modeling

Analytical research

Calculus

Computer simulations

Data storage

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