Computational spectroscopy via singular-value decomposition and regularization | Zendy

Peng Wang | Zendy; Rajesh Me | Zendy

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Computational spectroscopy via singular-value decomposition and regularization

Author(s) -

Peng Wang,

Rajesh Me

Publication year - 2014

Publication title -

optics express

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.22.021541

Subject(s) - singular value decomposition , optics , spectrometer , fourier transform , broadband , spectral resolution , regularization (linguistics) , fourier transform spectroscopy , singular value , physics , bandwidth (computing) , spectroscopy , algorithm , computer science , fourier transform infrared spectroscopy , telecommunications , spectral line , eigenvalues and eigenvectors , artificial intelligence , quantum mechanics , astronomy

Computational spectrometer based on a broadband diffractive optic was demonstrated with high spectral resolution over large bandwidth and high photon utilization efficiency. In this paper, we analyze such a spectrometer using singular value decomposition and propose a faster spectrum reconstruction algorithm with excellent accuracy by regularization. A new definition of spectral resolution based upon the Fourier analysis of singular vectors is described as well.

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