Information-optimal adaptive feature-specific spectroscopy for rapid chemical classification

Y. I. Rodríguez, P. A. Jansen, D. V. Dinakarababu, M. E. Gehm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2011
StatePublished - Dec 1 2011
EventComputational Optical Sensing and Imaging, COSI 2011 - Toronto, Canada
Duration: Jul 10 2011Jul 14 2011

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherComputational Optical Sensing and Imaging, COSI 2011
CountryCanada
CityToronto
Period7/10/117/14/11

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Rodríguez, Y. I., Jansen, P. A., Dinakarababu, D. V., & Gehm, M. E. (2011). Information-optimal adaptive feature-specific spectroscopy for rapid chemical classification. In Computational Optical Sensing and Imaging, COSI 2011 (Optics InfoBase Conference Papers).