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A hybrid learning-based stochastic noise eliminating method with attention-Conv-LSTM network for low-cost MEMS gyroscope

Low-cost inertial measurement units (IMUs) based on microelectromechanical system (MEMS) have been widely used in self-localization for autonomous robots due to their small size and low power consumption. However, the low-cost MEMS IMUs often suffer from complex, non-linear, time-varying noise and e...

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Detalles Bibliográficos
Autores principales: Liu, Yaohua, Cui, Jinqiang, Liang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797827/
https://www.ncbi.nlm.nih.gov/pubmed/36590082
http://dx.doi.org/10.3389/fnbot.2022.993936

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