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Coded aperture spectroscopy with denoising through sparsity |
Optics Express, Vol. 20, Issue 3, pp. 2297-2309 (2012)
http://dx.doi.org/10.1364/OE.20.002297
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Abstract
We compare noise and classification metrics for three aperture codes in dispersive spectroscopy. In contrast with previous theory, we show that multiplex codes may be advantageous even in systems dominated by Poisson noise. Furthermore, ill-conditioned codes with a regularized estimation strategy are shown to perform competitively with well-conditioned codes.
© 2011 OSA
OCIS Codes
(300.6190) Spectroscopy : Spectrometers
(070.2025) Fourier optics and signal processing : Discrete optical signal processing
ToC Category:
Spectroscopy
History
Original Manuscript: August 10, 2011
Revised Manuscript: October 26, 2011
Manuscript Accepted: October 28, 2011
Published: January 18, 2012
Citation
Alex Mrozack, Daniel L. Marks, and David J. Brady, "Coded aperture spectroscopy with denoising through sparsity," Opt. Express 20, 2297-2309 (2012)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-20-3-2297
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