1 April 2005 Reconstruction of irregularly sampled interferograms in Fourier transform spectrometry with unknown sampling locations
Jialin Tian, Monson H. Hayes III
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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.
©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jialin Tian and Monson H. Hayes III "Reconstruction of irregularly sampled interferograms in Fourier transform spectrometry with unknown sampling locations," Optical Engineering 44(4), 048201 (1 April 2005). https://doi.org/10.1117/1.1882355
Published: 1 April 2005
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KEYWORDS
Reconstruction algorithms

Fourier transforms

Evolutionary algorithms

Mirrors

Optical engineering

Spectroscopy

Error analysis

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