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Optical Engineering

Spectroscopic blind deconvolution using a constrained high-order cumulant algorithm
Author(s): Jinghe Yuan; Ziqiang Hu
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Paper Abstract

Spectroscopic data recorded by dispersion spectrophotometers is usually degraded by the response function of the instrument. Double- or triple-cascade spectrophotometers use narrow slits to improve their resolving power, but the total flux of the radiation available decreases accordingly, resulting in a lower signal-to-noise ratio (SNR) and longer exposure time. Nevertheless, the spectral resolution can be improved mathematically by removing the effects of the instrument response function. A constrained high-order cumulant algorithm is proposed to blindly deconvolute the measured spectroscopic data and estimate the response function of the instruments simultaneously. Experiments on artificial and real measured spectroscopic data demonstrate the feasibility of this algorithm.

Paper Details

Date Published: 1 September 2006
PDF: 6 pages
Opt. Eng. 45(9) 093603 doi: 10.1117/1.2351915
Published in: Optical Engineering Volume 45, Issue 9
Show Author Affiliations
Jinghe Yuan, Shanghai Institute of Optics and Fine Mechanics (China)
Ziqiang Hu, Yantai Univ. (China)

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