Research Article
Extraction of Baseline Based on Second-Generation Wavelet Transform
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@INPROCEEDINGS{10.1007/978-3-030-62483-5_17, author={Jiancai Wang}, title={Extraction of Baseline Based on Second-Generation Wavelet Transform}, proceedings={Green Energy and Networking. 7th EAI International Conference, GreeNets 2020, Harbin, China, June 27-28, 2020, Proceedings}, proceedings_a={GREENETS}, year={2020}, month={11}, keywords={Second-generation wavelet transform Signals processing Baseline extraction}, doi={10.1007/978-3-030-62483-5_17} }- Jiancai Wang
Year: 2020
Extraction of Baseline Based on Second-Generation Wavelet Transform
GREENETS
Springer
DOI: 10.1007/978-3-030-62483-5_17
Abstract
In the analysis of signals processing, due to the various kinds of interference in the transformation and sampling of the analytical instruments, the baseline of the signals is presented in the upper and lower drift. The upper and lower baseline could affect the accuracy of quantitative calculation, analysis and evaluation. In the study, the principle of second-generation wavelet is discussed and introduced to extract the baseline. The features of signals are analyzed and the quantitative accuracy of components has been significantly improved by the baseline extraction. The second-generation wavelet method successfully realizes the split of baseline from the signal peak with high efficiency and is easy to be implemented.
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