Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7562080 | Chemometrics and Intelligent Laboratory Systems | 2018 | 19 Pages |
Abstract
The super-diffusion model is suggested for peak-preserving smoothing. In this model, the time derivative on the left of the classical diffusion model is replaced with the time fractional derivative. Because of the weight property of the fractional derivative, the super-diffusion model can further improve the smooth performance of the classical nonlinear diffusion model. An explicit difference scheme and an implicit difference scheme are given. Then some comparisons between the proposed model and the classical nonlinear diffusion model are done. The results indicate the proposed model outperforms the classic nonlinear diffusion model. In the end, the proposed method is used to smooth a nuclear magnetic resonance spectroscopy and a mass spectrometry.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Yuanlu Li, Min Jiang, Fawang Liu,