Pretreatment and Wavelength Selection Method for Near-Infrared Spectra Signal Based on Improved CEEMDAN Energy Entropy and Permutation Entropy

Pretreatment and Wavelength Selection Method for Near-Infrared Spectra Signal Based on Improved CEEMDAN Energy Entropy and Permutation Entropy

The noise of near-infrared spectra and spectral information redundancy can affect the accuracy of calibration and prediction models in near-infrared analytical technology. To address this problem, the improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and permutati...

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Bibliographic Details
Main Authors:	Xiaoli Li, Chengwei Li
Format:	Article
Language:	English
Published:	MDPI AG 2017-07-01
Series:	Entropy
Subjects:	near-infrared spectra wavelength selection improved CEEMDAN energy entropy permutation entropy
Online Access:	https://www.mdpi.com/1099-4300/19/7/380

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