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Classification of Odorants in the Vapor Phase Using Composite Features for a Portable E-Nose System

We present an effective portable e-nose system that performs well even in noisy environments. Considering the characteristics of the e-nose data, we use an image covariance matrix-based method for extracting discriminant features for vapor classification. To construct composite vectors, primitive va...

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Detalhes bibliográficos
Main Authors: Choi, Sang-Il, Jeong, Gu-Min, Kim, Chunghoon
Formato: Artigo
Idioma:Inglês
Publicado em: Molecular Diversity Preservation International (MDPI) 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3571777/
https://ncbi.nlm.nih.gov/pubmed/23443373
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s121216182
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