Literature DB >> 27409210

Compressive sensing spectroscopy with a single pixel camera.

David J Starling, Ian Storer, Gregory A Howland.   

Abstract

Spectrometry requires high spectral resolution and high photometric precision while also balancing cost and complexity. We address these requirements by employing a compressive-sensing camera capable of improving signal acquisition speed and sensitivity in limited signal scenarios. In particular, we implement a fast single pixel spectrophotometer with no moving parts and measure absorption and emission spectra comparable with commercial products. Our method utilizes Hadamard matrices to sample the spectra and then minimizes the total variation of the signal. The experimental setup includes standard optics and a grating, a low-cost digital micromirror device, and an intensity detector. The resulting spectrometer produces a 512 pixel spectrum with low mean-squared error and up to a 90% reduction in data acquisition time when compared with a standard spectrophotometer.

Year:  2016        PMID: 27409210     DOI: 10.1364/AO.55.005198

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  3 in total

1.  Lensless Photoluminescence Hyperspectral Camera Employing Random Speckle Patterns.

Authors:  Karel Žídek; Ondřej Denk; Jiří Hlubuček
Journal:  Sci Rep       Date:  2017-11-10       Impact factor: 4.379

2.  Compressive sensing for spatial and spectral flame diagnostics.

Authors:  David J Starling; Joseph Ranalli
Journal:  Sci Rep       Date:  2018-02-07       Impact factor: 4.379

Review 3.  Single-Pixel MEMS Imaging Systems.

Authors:  Guangcan Zhou; Zi Heng Lim; Yi Qi; Guangya Zhou
Journal:  Micromachines (Basel)       Date:  2020-02-20       Impact factor: 2.891

  3 in total

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