Coded aperture spectroscopy with denoising through sparsity

Alex Mrozack; Daniel L. Marks; David J. Brady

doi:10.1364/OE.20.002297

Coded aperture spectroscopy with denoising through sparsity

Alex Mrozack, Daniel L. Marks, David J. Brady

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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.

Original language	English (US)
Pages (from-to)	2297-2309
Number of pages	13
Journal	Optics Express
Volume	20
Issue number	3
DOIs	https://doi.org/10.1364/OE.20.002297
State	Published - Jan 30 2012
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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title = "Coded aperture spectroscopy with denoising through sparsity",

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.",

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AB - 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.

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Coded aperture spectroscopy with denoising through sparsity

Abstract

ASJC Scopus subject areas

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