文章基本信息

标题：The Adaptive EEMD Denoising Method based on Normalized Index Optimization for Near Infrared Spectra
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作者：Tong Liang ; Zhao Xiaoyu ; Sha Lijuan 等
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：2
页码：211-224
DOI：10.14257/ijsip.2016.9.2.19
出版社：SERSC
摘要：Firstly, modes overlapping occurs easily between Near Infrared spectral high frequency signal and noise, so the Ensemble Empirical Mode Decomposition (EEMD) method was used to remove the noise. According to the approximate completeness of Near Infrared spectrum, an EEMD denoising method based on normalized index optimization. This method views the global optimal point of normalized denoising index as stop condition, and completes itself adaptively with no parameters setting during the decomposion. It can be concluded by Near Infrared spectrum denoising data that this method improves the denoising accuracy and decreases the difficulty in operation in an easy and efficient way.
关键词：EEMD; Near Infrared spectra; denoise; adaptivity