An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform
文献类型：期刊论文
| 作者 | Han JD(韩建达)1,2 ; Broderick, Neil4,5; Xu WL(徐卫良)3,4; Chen, Hao3,4
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| 刊名 | JOURNAL OF RAMAN SPECTROSCOPY
 |
| 出版日期 | 2018 |
| 卷号 | 49期号:9页码:1529-1539 |
| 关键词 | adaptive denoising lifting wavelet transform noise reduction Raman spectroscopy |
| ISSN号 | 0377-0486 |
| 产权排序 | 5 |
| 英文摘要 | Noise, 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. |
| WOS关键词 | SPECTRA |
| WOS研究方向 | Spectroscopy |
| 语种 | 英语 |
| WOS记录号 | WOS:000444802200014 |
| 源URL | [http://ir.sia.cn/handle/173321/22817]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | Xu WL(徐卫良) |
| 作者单位 | 1.College of Computer and ControlEngineering, Nankai University, Tianjin, China 2.State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 3.Department of Mechanical Engineering,The University of Auckland, Auckland, New Zealand 4.The Dodd‐Walls Center for Photonic and Quantum Technologies, Auckland, NewZealand 5.Department of Physics, The University of Auckland, Auckland, New Zealand |
| 推荐引用方式 GB/T 7714 | Han JD,Broderick, Neil,Xu WL,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 | Han JD,Broderick, Neil,Xu WL,&Chen, Hao.(2018).An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform.JOURNAL OF RAMAN SPECTROSCOPY,49(9),1529-1539. |
| MLA | Han JD,et al."An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform".JOURNAL OF RAMAN SPECTROSCOPY 49.9(2018):1529-1539. |
入库方式： OAI收割
来源：沈阳自动化研究所
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