title: [Analysis of several methods for wavelet denoising used in near infrared spectrum pretreatment].
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.
authors.affiliation: College of Biological and Environment Engineering, Jiangsu University, Zhenjiang 212013, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Hao
authors.forename: Bin
authors.initials: B
authors.lastname: Chen
authors.forename: Rui
authors.initials: R
authors.lastname: Zhu
mesh_terms: D005229:Fatty Acids, Monounsaturated; D010938:Plant Oils / Q000737:chemistry; D000074262:Rapeseed Oil; D012815:Signal Processing, Computer-Assisted; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D005229:Fatty Acids, Monounsaturated; D010938:Plant Oils; D000074262:Rapeseed Oil