期刊论文

Zhou, Mo

英文

Infrared Physics & Technology

1350-4495

2015

71

63-69

10.1016/j.infrared.2015.01.030

The authors would also like to thank the editor and anonymous reviewers for their valuable suggestions. This research was partially funded by the Project of the Program for National Key Technology Research and Development Program (2013BAH72B01), National Key Technology Research and Development Program (2013BAH18F02), National Key Technology Research and Development Program (2015BAH33F02), New Century Excellent Talents in University (NCET-11-0654), Scientific R & D Project of State Education Ministry and China Mobile (MCM20121061), National Social Science Fund of China (14BGL131), New PhD Researcher Award from Chinese Ministry of Education, and the National Natural Science Foundation of China under Grant No. 60902060. The authors sincerely thank Prof. Lórenzf-Fonfría and Jinghe Yuan for helpful discussions and providing the source codes of FSD method.

本校为第一机构

Abstract Infrared spectra often suffer from common problems of bands overlap and random noise. In this paper, we introduce a blind spectral deconvolution method to recover the degraded infrared spectra. Firstly, we present an analysis of the causes of band-side artifacts found in current deconvolution methods, and model the spectral noise with the multi-order derivative that are inspired by those analysis. Adaptive Tikhonov regularization is employed to preserve the spectral structure and suppress the noise. Then, an effective optimization scheme is described to alternate between IRF estimatio...