Miniature Mass Spectrometer Signal Processing Based on Ensemble Empirical Mode Decomposition Feature Enhancement.

Ming LiChenrui ZhanYueguang LvJiwen ChenYutian WangSixian LuYingqi WanQiang Ma

Published in: Rapid communications in mass spectrometry : RCM (2023)

The feature enhancement processing using the EEMD method has significantly improved the determination coefficient and relative standard deviation of the sample curve, improving the accuracy and stability of the data and providing a new way for miniature mass spectrometer signal processing.

Keyphrases

high resolution
machine learning
deep learning
neural network
convolutional neural network
big data
magnetic resonance
artificial intelligence