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 Optical Society of America
PDF ArticleMore Like This
Y. I. Rodríguez, D. V. Dinakarababu, and M. E. Gehm
FTuD3 Frontiers in Optics (FiO) 2010
D.V. Dinakarababu and M.E. Gehm
CThC5 Computational Optical Sensing and Imaging (COSI) 2009
M. J. Dunlop, P. A. Jansen, and M. E. Gehm
CMD3 Computational Optical Sensing and Imaging (COSI) 2011