@inproceedings{75a33c5dae104ffdae5bd190058e98ba,
title = "A Hybrid EMD-Based Signal Denosing Method for Gyrowheel System",
abstract = "Gyrowheel is a multi-function system, providing two-axis rate sensing and three-axis actuation for small spacecrafts. To ensure measurement accuracy, calibration experiments are required, which are affected by the noises in the output signals of the gyrowheel. The unique characteristics of the gyrowheel noises are considered. Thus, a hybrid signal denoising strategy is presented based on the combination of the empirical mode decomposition method and the traditional filter. The denoising results for the measured signals show the effectiveness of the hybrid denoising strategy for removing both high-frequency periodic noises and random noises.",
keywords = "Empirical mode decomposition, Gyrowheel, High-frequency periodic noises, Random noises, Signal denoising",
author = "Hui Zhao and Yuyu Zhao and Xin Huo and Yu Yao",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2nd IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2019 ; Conference date: 20-01-2019 Through 22-01-2019",
year = "2019",
month = jan,
doi = "10.1109/ICEICT.2019.8846307",
language = "英语",
series = "Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "210--214",
booktitle = "Proceedings of 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology, ICEICT 2019",
address = "美国",
}