A Novel Parallel Processing Model for Noise Reduction and Temperature Compensation of MEMS Gyroscope

To eliminate the noise and temperature drift in an Micro-Electro-Mechanical Systems (MEMS) gyroscope’s output signal for improving measurement accuracy, a parallel processing model based on Multi-objective particle swarm optimization based on variational modal decomposition-time-frequency peak filte...

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Autores principales: Qi Cai, Fanjing Zhao, Qiang Kang, Zhaoqian Luo, Duo Hu, Jiwen Liu, Huiliang Cao
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/4fdd8d7228fe47508bfa0bfa3cb1b060
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