A Noise Reduction Method of Interferogram Based on Discrete Wavelet Transform for Quantitative Calibration of near Infrared Spectra

Abstract:

Interferogram is the original measured signal of the Fourier transform spectrometer. A new method addressed the problem of noise reduction in inter-ferogram domain is proposed for multivariate calibration of Fourier transform near infrared spectral signals. The method is based on the discrete wavelet transform (DWT). It is used to determination of the ethanol as noise reduction tool for partial least square (PLS) modeling. It is shown that the benefit of the proposed method lies not only in its performance to improve the quality of PLS model and the prediction precision, but also in its simplicity and practicability.

• Periodical: Advanced Materials Research (Volumes 834-836)
• Pages: 1006-1010
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.834-836.1006
• Online since: October 2013
• Authors: Xue Mei Wu*, Po Yu Lou, Xiao Hui Yang
• Keywords: Discrete Wavelet Transform, Interferogram, Near Infrared, Noise Reduction

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