Literature DB >> 28059213

Compressive sensing resonator spectroscopy.

Yaniv Oiknine, Isaac August, Dan G Blumberg, Adrian Stern.   

Abstract

We present a new fast compressive spectroscopic technique based on the resonance spectrometric mechanism. This technique uses an appropriately designed Fabry-Perot resonator and a photo-sensor in order to acquire different multiplexed spectral modulations, from which the original signal is reconstructed using a compressive sensing reconstruction algorithm. We present experimental results that demonstrate the acquisition of hundreds of spectral bands with a compression ratio of about 1:13.

Year:  2017        PMID: 28059213     DOI: 10.1364/OL.42.000025

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  2 in total

1.  Mass production-enabled computational spectrometers based on multilayer thin films.

Authors:  Cheolsun Kim; Pavel Ni; Kang Ryeol Lee; Heung-No Lee
Journal:  Sci Rep       Date:  2022-03-08       Impact factor: 4.379

2.  Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network.

Authors:  Cheolsun Kim; Dongju Park; Heung-No Lee
Journal:  Sensors (Basel)       Date:  2020-01-21       Impact factor: 3.576

  2 in total

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