@inproceedings{5ae150ce787141d2a09246daa35f74d9,
title = "Compressive imaging spectrometers using coded apertures",
abstract = "A spectral imager provides a 3-D data cube in which the spatial information (2-D) of the image is comple-mented by spectral information (1-D) about each spatial location. Typically, these systems are operated in a fully-determined (or overdetermined) manner so that the measurements can be computationally inverted into a reliable estimate of the source. We propose a notional system design that is highly underdetermined, yet still computationally invertable. This approach relies on recently-developed concepts in compressive sensing. Because the number of required measurements is greatly reduced from traditional designs, the result is a faster and more economical sensor system.",
keywords = "Compressive sensing, Multiplex spectroscopy, Spectroscopy",
author = "Brady, {D. J.} and Gehm, {M. E.}",
year = "2006",
doi = "10.1117/12.667605",
language = "English (US)",
isbn = "0819463027",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Visual Information Processing XV",
note = "Visual Information Processing XV ; Conference date: 18-04-2006 Through 19-04-2006",
}