Denoising by local iterated extended Kalman filter for quantification purposes in electronic noses

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Publication Details

Author list: Turmchokkasam S., Chamnongthai K.

Publisher: Hindawi

Publication year: 2015

Start page: 304

End page: 307

Number of pages: 4

ISBN: 9781479944163

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922933585&doi=10.1109%2fISCIT.2014.7011921&partnerID=40&md5=f19dd575c2d4cd1750255ba567442fd2

Languages: English-Great Britain (EN-GB)

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Abstract

In the area of electronic noses (e-noses), applications in the field of wine detection are uncommon. The number of qualified human wine experts is low and their cost is high. This paper has been developed for the purpose of local iterated extended Kalman filtering technique for collecting raw data (typical red wine aromas) and de-noising based on the output noise characteristics of those gas sensors. Compared to the conventional Kalman filter algorithm. ฉ 2014 IEEE.

Keywords

Electronic Noses, Kalman Filter Algorithm, Local Iterated Extended Kalman Filtering Technique, Wine Aromas