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globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0146249
论文题名:	Evaluating Spectral Signals to Identify Spectral Error
作者:	George Bazar; Zoltan Kovacs; Roumiana Tsenkova
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2016
发表日期:	2016-1-5
卷:	11, 期:1
语种:	英语
英文关键词:	Signal processing ; Near-infrared spectroscopy ; Vapors ; Monochromators ; Bandwidth (signal processing) ; Humidity ; Light ; Data processing
英文摘要:	Since the precision and accuracy level of a chemometric model is highly influenced by the quality of the raw spectral data, it is very important to evaluate the recorded spectra and describe the erroneous regions before qualitative and quantitative analyses or detailed band assignment. This paper provides a collection of basic spectral analytical procedures and demonstrates their applicability in detecting errors of near infrared data. Evaluation methods based on standard deviation, coefficient of variation, mean centering and smoothing techniques are presented. Applications of derivatives with various gap sizes, even below the bandpass of the spectrometer, are shown to evaluate the level of spectral errors and find their origin. The possibility for prudent measurement of the third overtone region of water is also highlighted by evaluation of a complex data recorded with various spectrometers.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0146249&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/23279
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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File Name/ File Size	Content Type	Version	Access	License
journal.pone.0146249.PDF（6796KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, Kobe, Japan;Institute of Food and Agricultural Product Qualification, Faculty of Agricultural and Environmental Sciences, Kaposvar University, Kaposvar, Hungary;Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, Kobe, Japan;Department of Physics and Control, Faculty of Food Science, Corvinus University of Budapest, Budapest, Hungary;Biomeasurement Technology Laboratory, Graduate School of Agricultural Science, Kobe University, Kobe, Japan

Recommended Citation:

George Bazar,Zoltan Kovacs,Roumiana Tsenkova. Evaluating Spectral Signals to Identify Spectral Error[J]. PLOS ONE,2016-01-01,11(1)

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