光谱学与光谱分析 |
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Analysis of Several Methods for Wavelet Denoising Used in Near Infrared Spectrum Pretreatment |
HAO Yong,CHEN Bin*,ZHU Rui |
College of Biological and Environment Engineering,Jiangsu University,Zhenjiang 212013, China |
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Abstract Based on the wavelet analysis, the noise of the near infrared first derivative spectrum of rapeseed oil is eliminated. Several popular wavelet denoising methods are introduced, including wavelet decomposition and reconstruction method, nonlinear wavelet soft-threshold denoising method, and wavelet transform modulus maxima method,The results show that the wavelet transform modulus maxima method is the best, the nonlinear wavelet soft-threshold method is the second, and other are worse. The wavelet transform modulus maxima method can produce more precise model with little deviation.
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Received: 2005-06-22
Accepted: 2005-11-08
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Corresponding Authors:
CHEN Bin
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Cite this article: |
HAO Yong,CHEN Bin,ZHU Rui. Analysis of Several Methods for Wavelet Denoising Used in Near Infrared Spectrum Pretreatment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(10): 1838-1841.
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URL: |
http://www.gpxygpfx.com/EN/Y2006/V26/I10/1838 |
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