Review of compact computational spectral information acquisition systems-Reference-Cited by-同舟云学术

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Review of compact computational spectral information acquisition systems

Published:2020-07-04 Issue:8 Volume:21 Page:1119-1133
ISSN:2095-9184
Container-title:Frontiers of Information Technology & Electronic Engineering
language:en
Short-container-title:Front Inform Technol Electron Eng

Author:

Song Hongya^ORCID,Zhang Wenyi,Li Haifeng,Liu Xu,Hao Xiang^ORCID

Funder

the National Key R&D Program of China

the Fundamental Research Funds for the Central Universities, China

the ZJU-Sunny Photonics Innovation Center, China

Publisher

Zhejiang University Press

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing

Link

http://link.springer.com/content/pdf/10.1631/FITEE.1900266.pdf

Reference73 articles.

1. Adato R, Yanik AA, Amsden JJ, et al., 2009. Ultra-sensitive vibrational spectroscopy of protein monolayers with plasmonic nanoantenna arrays. PNAS, 106(46):19227–19232. https://doi.org/10.1073/pnas.0907459106

2. Arguello H, Arce GR, 2011. Code aperture optimization for spectrally agile compressive imaging. J Opt Soc Am A, 28(11):2400–2413. https://doi.org/10.1364/josaa.28.002400

3. Arguello H, Arce GR, 2014. Colored coded aperture design by concentration of measure in compressive spectral imaging. IEEE Trans Image Process, 23(4):1896–1908. https://doi.org/10.1109/tip.2014.2310125

4. Arguello H, Correa CV, Arce GR, 2013. Fast lapped block reconstructions in compressive spectral imaging. Appl Opt, 52(10):D32–D45. https://doi.org/10.1364/ao.52.000d32

5. Bangalore AS, Shaffer RE, Small GW, et al., 1996. Genetic algorithm-based method for selecting wavelengths and model size for use with partial least-squares regression: application to near-infrared spectroscopy. Anal Chem, 68(23):4200–4212. https://doi.org/10.1021/ac9607121

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