Random error reduction algorithms for MEMS inertial sensor accuracy improvement—a review

S Han, Z Meng, O Omisore, T Akinyemi, Y Yan - Micromachines, 2020 - mdpi.com
Research and industrial studies have indicated that small size, low cost, high precision, and
ease of integration are vital features that characterize microelectromechanical systems …

Hybrid deep recurrent neural networks for noise reduction of MEMS-IMU with static and dynamic conditions

S Han, Z Meng, X Zhang, Y Yan - Micromachines, 2021 - mdpi.com
Micro-electro-mechanical system inertial measurement unit (MEMS-IMU), a core component
in many navigation systems, directly determines the accuracy of inertial navigation system; …

[HTML][HTML] A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise, minimum …

Y Li, L Wang - Defence Technology, 2020 - Elsevier
Underwater acoustic signal processing is one of the research hotspots in underwater
acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic …

[PDF][PDF] A Comprehensive Review on Low-Cost MEMS Accelerometers for Vibration Measurement: Types, Novel Designs, Performance Evaluation, and Applications.

R Binali, H Demirpolat, M Kuntoğlu… - Journal of Molecular …, 2024 - researchgate.net
Maintenance of mechanical elements is considered to be the most crucial task in industry
and a® ects the economics, predominantly. There are many techniques available for fault …

[HTML][HTML] Gamma spectrum denoising method based on improved wavelet threshold

B **e, Z **ong, Z Wang, L Zhang, D Zhang… - Nuclear Engineering and …, 2020 - Elsevier
Adverse effects in the measured gamma spectrum caused by radioactive statistical
fluctuations, gamma ray scattering, and electronic noise can be reduced by energy spectrum …

Calibration analysis of high-G MEMS accelerometer sensor based on wavelet and wavelet packet denoising

Y Shi, J Zhang, J Jiao, R Zhao, H Cao - Sensors, 2021 - mdpi.com
High-G accelerometers are mainly used for motion measurement in some special fields,
such as projectile penetration and aerospace equipment. This paper mainly explores the …

A muscle fatigue classification model based on LSTM and improved wavelet packet threshold

J Wang, S Sun, Y Sun - Sensors, 2021 - mdpi.com
Previous studies have used the anaerobic threshold (AT) to non-invasively predict muscle
fatigue. This study proposes a novel method for the automatic classification of muscle fatigue …

An adaptive CEEMDAN thresholding denoising method optimized by nonlocal means algorithm

S Zhang, H Liu, M Hu, A Jiang, L Zhang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
A complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)
thresholding denoising method optimized by nonlocal means (NLM) algorithm is proposed …

An adaptive seismic signal denoising method based on variational mode decomposition

X Yao, Q Zhou, C Wang, J Hu, P Liu - Measurement, 2021 - Elsevier
In this paper, we study the denoising method for unattended ground sensor (UGS) systems
that are composed of seismic sensors. Seismic sensors are used for collecting the seismic …

A hybrid algorithm for noise suppression of MEMS accelerometer based on the improved VMD and TFPF

Y Zhou, H Cao, T Guo - Micromachines, 2022 - mdpi.com
High-G MEMS accelerometer (HGMA) is a new type of sensor; it has been widely used in
high precision measurement and control fields. Inevitably, the accelerometer output signal …