David Luo

Works (3)

Updated: July 5th, 2023 15:41

2016 journal article

Neural network calibration of a snapshot birefringent Fourier transform spectrometer with periodic phase errors

OPTICS EXPRESS, 24(10).

By: D. Luo n & M. Kudenov n

TL;DR: A new method of calibrating a Fourier transform spectrometer based on the use of artificial neural networks (ANNs) is described and it is demonstrated that a simpler and more straightforward reconstruction process can be achieved at the cost of additional calibration equipment. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2016 journal article

Spatially heterodyned snapshot imaging spectrometer

APPLIED OPTICS, 55(31), 8667–8675.

By: B. Maione n, D. Luo n, M. Miskiewicz n, M. Escuti n  & M. Kudenov n

TL;DR: This paper discusses the implementation of spatial heterodyning, using polarization gratings, to improve the spectral resolution trade space of a SHIFT spectrometer and employs neural networks to reduce the computational complexity required for data reduction, as appropriate for real-time imaging applications. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2014 article

Birefringent snapshot imaging spatial heterodyne spectrometer

POLARIZATION: MEASUREMENT, ANALYSIS, AND REMOTE SENSING XI, Vol. 9099.

By: B. Maione n, D. Luo n, M. Kudenov n, M. Escuti n  & M. Miskiewicz n

author keywords: Neural Network; Calibration; Spectrometer; Interferometer; Fourier Transform; Interferometry; Spectroscopy
TL;DR: This paper describes the first snapshot imaging spatial heterodyne Fourier transform spectrometer based on birefringent crystals and polarization gratings, and discusses details related to the calibration of the sensor, including the preliminary investigations into high speed data reconstruction and calibration using neural networks. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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