oru.sePublikationer
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Classification of optical sensor response cues with a bidimensional wavelet transform approach
Autónoma de San Luis Potosí, San Luis Potosí, México.
University of California, San Diego, USA. (Bio Circuits Institute)
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-0195-2102
Autónoma de San Luis Potosí, San Luis Potosí, México.
Show others and affiliations
2011 (English)In: Olfaction and electronic nose: proceedings of the 14th International Symposium on Olfaction and Electronic Nose (ISOEN 2011), May 2-5, 2011, New York City, USA, 2011, 255-257 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2011. 255-257 p.
Series
AIP Conference Proceedings, 1362
National Category
Computer Science Robotics
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-22702DOI: 10.1063/1.3626380ISBN: 978-0-7354-0920-0 (print)OAI: oai:DiVA.org:oru-22702DiVA: diva2:524676
Conference
14th International Symposium on Olfaction and Electronic Nose (ISOEN 2011), May 2-5, 2011, New York City, USA
Available from: 2012-05-03 Created: 2012-05-03 Last updated: 2017-10-17Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full texthttp://www.aass.oru.se/Research/Learning/publications/Murguia_etal_2011_ISOEN2011_Classification_of_Optical_Sensor_response_Cues_with_a_Bidimensional_Wavelet_Transform_Approach.html

Authority records BETA

Trincavelli, Marco

Search in DiVA

By author/editor
Trincavelli, Marco
By organisation
School of Science and Technology
Computer ScienceRobotics

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 20 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf