ADNet: A Neural Network for Accelerometer Signals Denoising-Reference-Cited by-同舟云学术

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ADNet: A Neural Network for Accelerometer Signals Denoising

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Zheng Fengling¹,Li Wei¹,Ding Chuntao²,Cui Xiaohui³

Affiliation:

1. Ministry of Education Jiangnan University,School of Artificial Intelligence and Computer Science & Jiangsu Key Laboratory of Media Design and Software Technology & Engineering Research Center of Intelligent Technology og Healthcare,Jiangsu,P. R. China

2. Beijing Jiaotong University,School of Computer and Information,Beijing,China,100044

3. Wuhan University,School of Cyber Science and Engineering,Wuhan,P. R. China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650470.pdf?arnumber=10650470

Reference33 articles.

1. Reducing effect of magnetic field noise on sensor position estimation in surgical EM tracking

2. Pull-in-based μg-resolution accelerometer: Characterization and noise analysis

3. Random Error Reduction Algorithms for MEMS Inertial Sensor Accuracy Improvement—A Review

4. Tackling mode collapse in multi-generator GANs with orthogonal vectors

5. IFL-GAN: Improved Federated Learning Generative Adversarial Network With Maximum Mean Discrepancy Model Aggregation

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