Wavelet Analysis of Near Infrared Spectral Data in the Application of Denoising

Xiao Mei Lin; Juan Wang; Qing Hua Yao

doi:10.4028/www.scientific.net/AMM.48-49.1358

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 48-49Wavelet Analysis of Near Infrared Spectral Data in...

Wavelet Analysis of Near Infrared Spectral Data in the Application of Denoising

Abstract:

Spectrum signal may contain many peaks or mutations and noise also is not smooth white noise, to this kind of signal analysis, must do signal pretreatment, remove part of signal and extract useful part of signal.Based on the data of blood glucose near-infrared spectrum as the research object to explore the application of wavelet transform in the near infrared spectrum signal denoising, and through the simulation results show that using wavelet analysis of near infrared spectral data pretreatment than the traditional Fourier method can be higher precision of prediction.

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Periodical:

Applied Mechanics and Materials (Volumes 48-49)

Pages:

1358-1362

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.48-49.1358

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Online since:

February 2011

Authors:

Xiao Mei Lin, Juan Wang, Qing Hua Yao

Keywords:

De-Noising, Near Infrared Spectroscopy (NIRS), Signal Processing, Wavelet Analysis

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