| Asymmetric least squares for multiple spectra baseline correction | |
Peng, Jiangtao; Peng, Silong ; Jiang, An; et al.; Jiangtao Peng
| |
| 发表期刊 | ANALYTICA CHIMICA ACTA
 |
| 2010-12-17 | |
| 卷号 | 683期号:683页码:63-68 |
| 文章类型 | Article |
| 摘要 | In this paper, based on asymmetric least squares smoothing, anewalgorithm for multiple spectra baseline correction is proposed. By means of the similarity among the multiple spectra, the algorithm estimates the baselines by penalizing the differences in the baseline corrected signals, which makes the algorithm possible to eliminate scatter effects on the spectra. In addition, a relaxation factor which measures the similarity of the baseline corrected spectra is incorporated into the optimization model and an alternate iteration strategy is used to solve the optimization problem. The proposed algorithm is fast and can output multiple baselines simultaneously. Experimental results on both simulated data and real data demonstrate the effectiveness and efficiency of the algorithm. |
| 关键词 | Asymmetric Least Squares multiple Spectra Baseline Correction relaxation Factor |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 关键词[WOS] | REFLECTANCE SPECTRA |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Chemistry |
| WOS类目 | Chemistry, Analytical |
| WOS记录号 | WOS:000285326700007 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/2896 |
| 专题 | 智能制造技术与系统研究中心_多维数据分析（彭思龙）-技术团队 |
| 通讯作者 | Jiangtao Peng |
| 推荐引用方式 GB/T 7714 | Peng, Jiangtao,Peng, Silong,Jiang, An,et al. Asymmetric least squares for multiple spectra baseline correction[J]. ANALYTICA CHIMICA ACTA,2010,683(683):63-68. |
| APA | Peng, Jiangtao,Peng, Silong,Jiang, An,et al.,&Jiangtao Peng.(2010).Asymmetric least squares for multiple spectra baseline correction.ANALYTICA CHIMICA ACTA,683(683),63-68. |
| MLA | Peng, Jiangtao,et al."Asymmetric least squares for multiple spectra baseline correction".ANALYTICA CHIMICA ACTA 683.683(2010):63-68. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Asymmetric least squ（1806KB） | 期刊论文 | 作者接受稿 | 暂不开放 | CC BY-NC-SA | ||
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。
修改评论