期刊
JOURNAL OF RAMAN SPECTROSCOPY
卷 49, 期 12, 页码 1972-1977出版社
WILEY
DOI: 10.1002/jrs.5485
关键词
denoise algorithm; orthogonal matching pursuit; Raman spectroscopy; sparse representation
类别
资金
- Natural Science Foundation of Jiangsu Province [BK20150227, BK20151164]
- National Natural Science Foundation of China [21505057, 61575087, 61771227]
A new method based on joint sparse representation is developed to recover the peak information from high-noise Raman signal. This method used the sparsity of Raman spectrum to recover the signals and preserve its useful peak information. The peak information is then reconstructed by using an orthogonal matching pursuit algorithm. The joint sparse representation method is found to be an effective approach to analyze the Raman spectrum, especially Raman spectrum that have high noise, thus improving the detection limit of Raman spectroscopy. Experimental results demonstrate that this approach is better than other approaches in case of low signal-to-noise ratios.
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