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《Spectroscopy and Spectral Analysis》 2006-05
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The Effects of Noise on NIR Analysis and Related Mathematic Pretreatments and Models

ZHAO Huan-huan~1, YAN Yan-lu~2 1. College of Agronomy and Biotechnology, China Agricultural University, Beijing 100094, China 2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100094, China  
The feasibility of using a relatively high noise NIR spectrometer for analysis was examined by using maize powder samples. The results showed that with four-time averaged NIR spectrum data without more pretreatments, PLS mathematic models and CAU-NIR software, the relative high noise scan NIR spectrometer could be used to get satisfied prediction results compared with other low noise NIR spectrometers. The prediction coefficient could reach 98% and the CV(variation coefficient) was 6.2%. It was proved that when the S/N of NIR spectrometer was lower than 10~5, it still could be used for quantity analysis with the help of some mathematic pretreatments and models.
【Fund】: 国家高技术研究发展计划(“863”计划)项目(2002AA243011);; 国家科技攻关计划课题(2004BA210A03)资助
【CateGory Index】: O433.4
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