Wenting Li, François Auger, Zhuosheng Zhang 0002, Xiangxiang Zhu. Newton time-extracting wavelet transform: An effective tool for characterizing frequency-varying signals with weakly-separated components and theoretical analysis. Signal Processing, 209:109017, 2023. [doi]
@article{LiA0Z23,
title = {Newton time-extracting wavelet transform: An effective tool for characterizing frequency-varying signals with weakly-separated components and theoretical analysis},
author = {Wenting Li and François Auger and Zhuosheng Zhang 0002 and Xiangxiang Zhu},
year = {2023},
doi = {10.1016/j.sigpro.2023.109017},
url = {https://doi.org/10.1016/j.sigpro.2023.109017},
researchr = {https://researchr.org/publication/LiA0Z23},
cites = {0},
citedby = {0},
journal = {Signal Processing},
volume = {209},
pages = {109017},
}