17 July 2015 A high resolution spectrum reconstruction algorithm using compressive sensing theory
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Proceedings Volume 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015); 95241D (2015) https://doi.org/10.1117/12.2189451
Event: International Conference on Optical and Photonic Engineering (icOPEN2015), 2015, Singapore, Singapore
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%.
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Zhaoyu Zheng, Zhaoyu Zheng, Dakai Liang, Dakai Liang, Shulin Liu, Shulin Liu, Shuqing Feng, Shuqing Feng, } "A high resolution spectrum reconstruction algorithm using compressive sensing theory", Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95241D (17 July 2015); doi: 10.1117/12.2189451; https://doi.org/10.1117/12.2189451
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