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Optical Engineering

Reconstruction of irregularly sampled interferograms in Fourier transform spectrometry with unknown sampling locations
Author(s): Jialin Tian; Monson H. Hayes
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Paper Abstract

We propose an algorithm for reconstructing nonuniformly sampled interferograms when sampling locations are unknown. An optimization problem with multiple objective and constraint functions is designed based on the spatial and spectral characteristics of the data measurement. This problem is solved using an evolutionary approach, in which potential solutions are competing to be the fittest individual in a simulated natural environment.

Paper Details

Date Published: 1 April 2005
PDF: 8 pages
Opt. Eng. 44(4) 048201 doi: 10.1117/1.1882355
Published in: Optical Engineering Volume 44, Issue 4
Show Author Affiliations
Jialin Tian, NASA Langley Research Ctr. (United States)
Monson H. Hayes, Georgia Institute of Technology (United States)

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