文献类型：期刊文献

中文题名：基于小波模极大值的木材近红外光谱去噪

英文题名：Denoising of Near Infrared Spectroscopy in Wood Based on Wavelet Transform Modulus Maximum

作者：王学顺[1,2] 戚大伟[1] 黄安民[3]

第一作者：王学顺

机构：[1]东北林业大学理学院,哈尔滨150040;[2]北京林业大学理学院,北京100083;[3]中国林业科学研究院木材工业研究所,北京100091

年份：2008

卷号：44

期号：10

起止页码：109-112

中文期刊名：林业科学

外文期刊名：Scientia Silvae Sinicae

收录：CSTPCD;;Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：哈尔滨市重点攻关项目(2007AA1CG062);黑龙江省博士后启动金(LBH-Q06113)

语种：中文

中文关键词：近红外光谱;小波变换;模极大值;去噪

外文关键词：near infrared spectroscopy; wavelet transform; modulus maximum; denoising

分类号：TN911.7;S781.3

摘要：将光谱一阶导数与小波变换相结合,对杉木木材近红外光谱数据进行预处理,采用db3小波对光谱数据进行4尺度分解,在各分解尺度上根据信号和噪声的不同传播特性,保留信号的模极大值,去除噪声的模极大值。结果表明:光谱导数+小波变换模极大值能够有效消除光谱噪声和各种因素干扰,并很好保留了光谱信号特征,使光谱信噪比有了较大提高。
Spectroscopic data of wood samples gathering by spectroscopic instruments are disturbed by a series of noises and interferences, therefore the proper data preprocessing is very important for model establishment and achievement of accurate analytical result. This paper was direct application of wavelet transform combined with first derivative in spectrum preprocessing of Chinese Fir. Using the db3 wavelet to resolve spectrum data in four races. In addition, according to the different characteristics of transformation between signal and noise in different resolve races, to hold back the maximum of signal model and dislodge the minimum of the noise model. The results showed that the combination of first derivative and wavelet transform modulus maximum was able to eliminate spectroscopic noises and interferences as well as reserve major information. It contributed to increase analysis quality and precision of the near infrared.