A Denoising Algorithm for Maglev Gyro Jump Data Based on Bayesian Ensemble Time-Series Segmentation.

Guo B, Shi Z, Liu D, Hu X, Jiang G, Dang T

DOI: 10.3390/s26165287
Published: 2026 Aug 20
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26165287,
  title = {A Denoising Algorithm for Maglev Gyro Jump Data Based on Bayesian Ensemble Time-Series Segmentation.},
  author = {Guo B and Shi Z and Liu D and Hu X and Jiang G and Dang T},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26165287},
  url = {https://doi.org/10.3390/s26165287}
}

RIS

TY  - JOUR
TI  - A Denoising Algorithm for Maglev Gyro Jump Data Based on Bayesian Ensemble Time-Series Segmentation.
AU  - Guo B
AU  - Shi Z
AU  - Liu D
AU  - Hu X
AU  - Jiang G
AU  - Dang T
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26165287
UR  - https://doi.org/10.3390/s26165287
ER  -

APA

B, G., Z, S., D, L., X, H., G, J., & T, D. (2026). A Denoising Algorithm for Maglev Gyro Jump Data Based on Bayesian Ensemble Time-Series Segmentation.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26165287

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pubmed · retrieved 2026-09-24T19:51:11.019Z