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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3571777/ https://www.ncbi.nlm.nih.gov/pubmed/23443373 http://dx.doi.org/10.3390/s121216182 |