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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 4, Iss. 8 — Aug. 10, 2006
  • pp: 490–492

Gauss-Newton based kurtosis blind deconvolution of spectroscopic data

Jinghe Yuan and Ziqiang Hu  »View Author Affiliations


Chinese Optics Letters, Vol. 4, Issue 8, pp. 490-492 (2006)


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Abstract

The spectroscopic data recorded by dispersion spectrophotometer are usually degraded by the response function of the instrument. To improve the resolving power, double or triple cascade spectrophotometer and narrow slits have been employed, but the total flux of the radiation decreases accordingly, resulting in a lower signal-to-noise ratio (SNR) and a longer measuring time. However, the spectral resolution can be improved by mathematically removing the effect of the instrument response function. Based on the Shalvi-Weinstein criterion, a Gauss-Newton based kurtosis blind deconvolution algorithm for spectroscopic data is proposed. Experiments with some real measured Raman spectroscopic data show that this algorithm has excellent deconvolution capability.

© 2006 Chinese Optics Letters

OCIS Codes
(300.6170) Spectroscopy : Spectra
(300.6320) Spectroscopy : Spectroscopy, high-resolution
(300.6450) Spectroscopy : Spectroscopy, Raman

Citation
Jinghe Yuan and Ziqiang Hu, "Gauss-Newton based kurtosis blind deconvolution of spectroscopic data," Chin. Opt. Lett. 4, 490-492 (2006)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-4-8-490

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