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木材近红外光谱小波阈值去噪方法
引用本文:王学顺,戚大伟,黄安民. 木材近红外光谱小波阈值去噪方法[J]. 东北林业大学学报, 2009, 37(2)
作者姓名:王学顺  戚大伟  黄安民
作者单位:1. 北京林业大学,北京,100083
2. 东北林业大
3. 中国林业科学院木材工业研究所
基金项目:国家林业部引进国际先进农业科学技术计划(948计划) 
摘    要:采用小波分析对木材近红外光谱进行阈值去噪研究,分别采用硬阈值、固定阈值、最大最小阈值和rigsure阈值对光谱信号进行去噪.结果表明,小波变换可以有效去除光谱噪声,并很好地保留了信号中的尖锐和突变部分,在近红外光谱分析中具有很好的应用前景.

关 键 词:近红外光谱  小波变换  多分辨分析  去噪

Threshold Denoising of Near Infrared Spectroscopy of Wood Based on Wavelet Transform
Wang Xueshun,Qi Dawei,Huang Anmin. Threshold Denoising of Near Infrared Spectroscopy of Wood Based on Wavelet Transform[J]. Journal of Northeast Forestry University, 2009, 37(2)
Authors:Wang Xueshun  Qi Dawei  Huang Anmin
Affiliation:Wang Xueshun(College of Science,Beijing Forestry University,Beijing 100083,P.R.China),Qi Dawei(Northeast Forestry University),Huang Anmin(Research Institute of Wood Industry,Chinese Academy of Forestry)
Abstract:The purpose of the study is to eliminate threshold denoising of near infrared spectrum of wood by wavelet analysis.Several multi-resolution wavelet threshold denoising methods are applied to eliminate threshold denoising,including hard threshold method,sqtwolog threshold method,minimaxi threshold method and Heursure threshold method.Results show that the wavelet transform has a particular advantage on noise eliminating of near infrared and has a wide application foreground.
Keywords:Near infrared spectroscopy  Wavelet transform  Multi-solution analysis  Denoising  
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