期刊论文

Chen, Zengzhao;Wang, Shengming

英文

Infrared Physics & Technology

1350-4495

2018

90

101-109

10.1016/j.infrared.2018.02.006

The authors would also like to thank the handling editor and anonymous reviewers for their valuable suggestions. This research was partially funded by the National Natural Science Foundation of China under Grant (No. 61505064, 61702207, 61702211), Hong Kong Scholars Programs under Grant (No. XJ2016063), the National Natural Science Foundation of Hubei Province under Grant (No. 2016CFB497), the National key Research and Development Program (No. 2017YFB1401301, 2017YFB1401303, 2013BAH72B01), the Cultivating Excellent Doctoral Dissertations Program of CCNU (No. 2017YBZZ009), and the Specific Funding for Education Science Research by Self-determined Research Funds of CCNU (No. CCNU16JYKX031). The authors would like to thank Prof. Lórenz-Fonfría for the helpful discussion.

本校为第一且通讯机构

Infrared (IR) spectra are the fingerprints of the molecules, and the spectral band location closely relates to the structure of a molecule. Thus, specimen identification can be performed based on IR spectroscopy. However, spectrally overlapping components prevent the specific identification of hyperfine molecular information of different substances. In this paper, we propose a fast blind reconstruction approach for IR spectra, which is based on sparse and redundant representations over a dictionary. The proposed method recovers the spectrum wit...