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An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform
Chen, Hao1,2; Xu WL(徐卫良)1,2; Broderick, Neil2,3; Han JD(韩建达)4,5
Department机器人学研究室
Source PublicationJOURNAL OF RAMAN SPECTROSCOPY
ISSN0377-0486
2018
Volume49Issue:9Pages:1529-1539
Indexed BySCI
WOS IDWOS:000444802200014
Contribution Rank5
Keywordadaptive denoising lifting wavelet transform noise reduction Raman spectroscopy
AbstractNoise, especially high-level noise, is a severe problem in Raman spectral analysis. It smears informative Raman peaks, distorts spectral features, and therefore affects final analytical results, particularly in multivariate analysis, which is frequently used in Raman spectroscopy. This becomes even worse when it comes to optical Raman probe-based biological applications due to limited acquisition time, laser power, and collection efficiency. Noise suppression is usually the first step in the preprocessing procedure of Raman spectral analysis. It is crucial to reduce noise effectively before performing further analysis. Discrete wavelet transform is a useful tool for noise reduction. However, it only provides limited and fixed filter banks, which may not be optimal for the data under investigation. In this paper, a novel adaptive denoising method based on lifting wavelet transform is presented for improving the signal-to-noise ratio for a Raman probe-based system. It enables users to develop an infinite number of lifting schemes from a base wavelet, and with the help of genetic algorithm, the optimal one can be easily found. This method is examined by a set of simulated Raman spectra with various noise level and a set of experimental Raman spectra. Performance comparison with other commonly used denoising methods is made. The results indicate that the proposed method is able to remove noise effectively while retaining informative Raman peaks satisfactorily.
Language英语
WOS SubjectSpectroscopy
WOS KeywordSPECTRA
WOS Research AreaSpectroscopy
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/22817
Collection机器人学研究室
Corresponding AuthorXu WL(徐卫良)
Affiliation1.Department of Mechanical Engineering,The University of Auckland, Auckland, New Zealand
2.The Dodd‐Walls Center for Photonic and Quantum Technologies, Auckland, NewZealand
3.Department of Physics, The University of Auckland, Auckland, New Zealand
4.College of Computer and ControlEngineering, Nankai University, Tianjin, China
5.State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Chen, Hao,Xu WL,Broderick, Neil,et al. An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform[J]. JOURNAL OF RAMAN SPECTROSCOPY,2018,49(9):1529-1539.
APA Chen, Hao,Xu WL,Broderick, Neil,&Han JD.(2018).An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform.JOURNAL OF RAMAN SPECTROSCOPY,49(9),1529-1539.
MLA Chen, Hao,et al."An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform".JOURNAL OF RAMAN SPECTROSCOPY 49.9(2018):1529-1539.
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