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Data Refinement and Channel Selection for a Portable E-Nose System by the Use of Feature Feedback

We propose a data refinement and channel selection method for vapor classification in a portable e-nose system. For the robust e-nose system in a real environment, we propose to reduce the noise in the data measured by sensor arrays and distinguish the important part in the data by the use of featur...

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Detalles Bibliográficos
Autores principales: Choi, Sang-Il, Kim, Su-Hyun, Yang, Yoonseok, Jeong, Gu-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231006/
https://www.ncbi.nlm.nih.gov/pubmed/22163476
http://dx.doi.org/10.3390/s101110387