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Updated: May 25, 2026

High Resolution Phonon-assisted Quasi-resonance Fluorescence Spectroscopy
Published on: June 28, 2016
Improving resolution of miniature spectrometers by exploiting sparse nature of signals
J Oliver1, Woongbi Lee, Sangjun Park
1School of Information and Communications, Gwangju Institute of Science and Technology, South Korea.
Abstract:
In this paper, we present a signal processing approach to improve the resolution of a spectrometer with a fixed number of low-cost, non-ideal filters. We aim to show that the resolution can be improved beyond the limit set by the number of filters by exploiting the sparse nature of a signal spectrum. We consider an underdetermined system of linear equations as a model for signal spectrum estimation. We design a non-negative L1 norm minimization algorithm for solving the system of equations. We demonstrate that the resolution can be improved multiple times by using the proposed algorithm.
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