OSA's Digital Library

Optics InfoBase > Conference Papers > COSI > 2011 > CMD > Page CMD2 © 2011 OSA

Conference Paper
Computational Optical Sensing and Imaging
Toronto Canada
July 10-14, 2011
ISBN: 978-1-55752-914-5
Computational Spectroscopy and Spectral Imaging (CMD)

Information-Optimal Adaptive Feature-Specific Spectroscopy for Rapid Chemical Classification

Ivan Rodriguez, Peter A. Jansen, Dinesh Dinakarababu, and Michael E. Gehm  »View Author Affiliations


http://dx.doi.org/10.1364/COSI.2011.CMD2


View Full Text Article

Acrobat PDF (609 KB) Note that full-text PDFs from conferences typically contain 1-3 pages of content, some or all of which might be an abstract, summary, or miscellaneous items.





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations
  • Export Citation/Save Click for help

Abstract

An information-optimal version of Adaptive Feature-Specific Spectrometry (AFSS) is presented. The system achieves dramatically shorter time-to-classification than traditional architectures in low SNR scenarios.

© 2011 OSA

OCIS Codes
(300.6190) Spectroscopy : Spectrometers
(280.4788) Remote sensing and sensors : Optical sensing and sensors

Citation
I. Rodriguez, P. A. Jansen, D. Dinakarababu, and M. E. Gehm, "Information-Optimal Adaptive Feature-Specific Spectroscopy for Rapid Chemical Classification," in Imaging and Applied Optics, OSA Technical Digest (CD) (Optical Society of America, 2011), paper CMD2.
http://www.opticsinfobase.org/abstract.cfm?URI=COSI-2011-CMD2


Sort:  Journal  |  Reset

References

References are not available for this paper.

OSA is a member of CrossRef.

CrossCheck Deposited