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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...
Autores principales: | Choi, Sang-Il, Kim, Su-Hyun, Yang, Yoonseok, Jeong, Gu-Min |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2010
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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 |
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