Spectroscopic blind deconvolution using a constrained high-order cumulant algorithm

Jinghe Yuan; Ziqiang Hu

doi:10.1117/1.2351915

1 September 2006 Spectroscopic blind deconvolution using a constrained high-order cumulant algorithm

Jinghe Yuan, Ziqiang Hu

Author Affiliations +

Optical Engineering, Vol. 45, Issue 9, 093603 (September 2006). https://doi.org/10.1117/1.2351915

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.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Jinghe Yuan and Ziqiang Hu "Spectroscopic blind deconvolution using a constrained high-order cumulant algorithm," Optical Engineering 45(9), 093603 (1 September 2006). https://doi.org/10.1117/1.2351915

Published: 1 September 2006

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available