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Evaluation of dynamic spectrum extraction method based on salami slicing method

动态光谱抽取方法的评估基于意大利香肠切方法

作     者:Xiao, Qiuyue Li, Gang Yan, Wenjuan He, Guoquan Lin, Ling 

作者机构:Tianjin Univ State Key Lab Precis Measurement Technol & Instru Tianjin 300072 Peoples R China Tianjin Univ China & Tianjin Key Lab Biomed Detecting Tech & I Tianjin 300072 Peoples R China Yangtze Normal Univ Sch Elect Informat Engn Chongqing 408100 Peoples R China 

出 版 物:《INFRARED PHYSICS & TECHNOLOGY》 (红外物理学与技术)

年 卷 期:2020年第111卷

页      面:103551-103551页

核心收录:

学科分类:070207[理学-光学] 07[理学] 08[工学] 0804[工学-仪器科学与技术] 0803[工学-光学工程] 0702[理学-物理学] 

基  金:We thank the State Key Laboratory of Precision Measuring Technology and Instruments for the use of their equipment 

主  题:Data processing methods Non-invasive blood component detection Quality evaluation Salami slicing method 

摘      要:With the rapid development of computer technology, a variety of data processing methods are used to process more and more data. The evaluation of the quality of the data and the processing methods is an urgent problem to be solved. In this paper, the dynamic spectrum for non-invasive blood component detection is used as the research object. A quality evaluation method based on salami slicing method is proposed. This evaluation method is applied to evaluate three dynamic spectrum extraction methods including optimizing differential extraction method, single-trial extraction method and differential extraction method, and their corresponding extracted dynamic spectrum. The evaluation results show that, the extraction accuracy of optimizing differential extraction method is the highest, single-trial extraction method is the second, and differential extraction method is the last. The evaluation results of three dynamic spectrum extraction methods verify the feasibility of the salami slicing evaluation method. This method can also be used to evaluate other data and data processing methods, and has high application value and broad application prospect.

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