Jose S. Murguia, Alexander Vergara, Marco Trincavelli, Cecilia Vargas-Olmos, and Ramon Huerta
Classification of Optical Sensor Response Cues with a Bidimensional Wavelet Transform Approach
Proceedings of the International Symposium on Olfaction and Electronic Nose (ISOEN 2011), May 2-5, 2011, New York City, USA.
Abstract: In this work is used the two-dimensional discrete wavelet transform as a feature extractor of time responses from a porous silicon optical gas sensor for gas identification. The wavelet decomposition allows us to have a more in-deep sight of the sensor response. In addition, using a linear support vector machine (SVM) as classifier we evaluate our approach for a six-analyte discrimination problem.
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@ARTICLE{Murguia_etal:ISOEN:2011,
  AUTHOR = {Murguia, Jose S. and Vergara, Alexander and Trincavelli, Marco and Vargas-Olmos, Cecilia and Huerta, Ramon},
  TITLE = {Classification of Optical Sensor Response Cues with a Bidimensional Wavelet Transform Approach},
  JOURNAL = {AIP Conference Proceedings},
  VOLUME = {1362},
  YEAR = {2011},
  DATE = {May 2--5},
  ADRESS = {New York City, USA},
  PAGES = {255-257}
  DOI = {10.1063/1.3626380}
}