Abstract
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.
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