The Effects of Noise on NIR Analysis and Related Mathematic Pretreatments and Models
ZHAO Huan-huan1, YAN Yan-lu2
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
Abstract: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 105, it still could be used for quantity analysis with the help of some mathematic pretreatments and models.
赵环环1,严衍禄2 . 噪声对近红外光谱分析的影响及相应的数学处理方法[J]. 光谱学与光谱分析, 2006, 26(05): 842-845.
ZHAO Huan-huan1, YAN Yan-lu2. The Effects of Noise on NIR Analysis and Related Mathematic Pretreatments and Models. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(05): 842-845.
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