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Proceedings Paper

A high resolution spectrum reconstruction algorithm using compressive sensing theory
Author(s): Zhaoyu Zheng; Dakai Liang; Shulin Liu; Shuqing Feng
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Paper Abstract

This paper proposes a quick spectrum scanning and reconstruction method using compressive sensing in composite structure. The strain field of corrugated structure is simulated by finite element analysis. Then the reflect spectrum is calculated using an improved transfer matrix algorithm. The K-means singular value decomposition sparse dictionary is trained . In the test the spectrum with limited sample points can be obtained and the high resolution spectrum is reconstructed by solving sparse representation equation. Compared with the other conventional basis, the effect of this method is better. The match rate of the recovered spectrum and the original spectrum is over 95%.

Paper Details

Date Published: 17 July 2015
PDF: 7 pages
Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95241D (17 July 2015); doi: 10.1117/12.2189451
Show Author Affiliations
Zhaoyu Zheng, Nanjing Univ. of Aeronautics and Astronautics (China)
Dakai Liang, Nanjing Univ. of Aeronautics and Astronautics (China)
Shulin Liu, Nanjing Univ. of Aeronautics and Astronautics (China)
Shuqing Feng, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 9524:
International Conference on Optical and Photonic Engineering (icOPEN 2015)
Anand K. Asundi; Yu Fu, Editor(s)

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