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Proceedings 2017, 1(8), 843; doi:10.3390/proceedings1080843

Multivariate Analysis as a Tool to Identify Concentrations from Strongly Overlapping Gas Spectra

1
Department of Mechanical and Production Engineering, Hamburg University of Applied Sciences, 20099 Hamburg, Germany
2
School of Engineering and Computing, University of the West of Scotland, Paisley PA1 2BE, UK
Presented at the 5th International Symposium on Sensor Science (I3S 2017), Barcelona, Spain, 27–29 September 2017.
*
Author to whom correspondence should be addressed.
Published: 29 November 2017
(This article belongs to the Proceedings of the 5th International Symposium on Sensor Science (I3S 2017))
Download PDF [117 KB, uploaded 29 November 2017]

Abstract

Multivariate analysis (MVA) was introduced in the early 20th century and first applied in psychology under the name of Multiple Factor Analysis (MFA). [...]
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Saalberg, Y.; Wolff, M. Multivariate Analysis as a Tool to Identify Concentrations from Strongly Overlapping Gas Spectra. Proceedings 2017, 1, 843.

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