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Coded aperture spectroscopy with denoising through sparsity

delete2012-01-18
delete19
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OA
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A
Alex Mrozack *
D
Daniel L. Marks
D
David J. Brady
DOI:10.1364/OE.20.002297delete
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摘要

摘要

En 中文
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. (C) 2012 Optical Society of America
Keyword:
MULTIPLEX SPECTROSCOPY
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期刊

Optics Express 封面图
Optics Express
IF:
3.3
论文数:
6.1W
被引数:
14.3W

机构

D
Duke University
学者数:
6.3W
论文数: 5.7W
被引数: 6.5W
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