CIOMP OpenIR  > 中科院长春光机所知识产出
An Automated Algorithm of Peak Recognition Based on Continuous Wavelet Transformation and Local Signal-to-Noise Ratio
Qian, F.; Y. H. Wu and P. Hao
2017
发表期刊Applied Spectroscopy
卷号71期号:8
摘要Raman peaks carry valuable information about constituent chemical bonds. Therefore, peak recognition is a very essential part of spectral analysis. The fully automated peak recognition is convenient in practical application. A fully automated Raman peaks recognition algorithm based on continuous wavelet transformation and local signal-to-noise ratio (LSNR) is proposed. This algorithm extracts feature points through continuous wavelet transformation and recognizes peaks through LSNR. This algorithm also can be used to eliminate spike, noise, and baseline. Both simulated and experimental data are used to evaluate the performance of the CWT-LSNR algorithm compared with the other two algorithms. The results show that CWT-LSNR gives better accuracy and has the advantage of easy use.
收录类别sci ; ei
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/59155
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Qian, F.,Y. H. Wu and P. Hao. An Automated Algorithm of Peak Recognition Based on Continuous Wavelet Transformation and Local Signal-to-Noise Ratio[J]. Applied Spectroscopy,2017,71(8).
APA Qian, F.,&Y. H. Wu and P. Hao.(2017).An Automated Algorithm of Peak Recognition Based on Continuous Wavelet Transformation and Local Signal-to-Noise Ratio.Applied Spectroscopy,71(8).
MLA Qian, F.,et al."An Automated Algorithm of Peak Recognition Based on Continuous Wavelet Transformation and Local Signal-to-Noise Ratio".Applied Spectroscopy 71.8(2017).
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
An Automated Algorit(790KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Qian, F.]的文章
[Y. H. Wu and P. Hao]的文章
百度学术
百度学术中相似的文章
[Qian, F.]的文章
[Y. H. Wu and P. Hao]的文章
必应学术
必应学术中相似的文章
[Qian, F.]的文章
[Y. H. Wu and P. Hao]的文章
相关权益政策
暂无数据
收藏/分享
文件名: An Automated Algorithm.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。