Results 251 to 260 of about 12,824,675 (274)
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Near-Field Modeling and Performance Analysis for Multi-User Extremely Large-Scale MIMO Communication
IEEE Communications Letters, 2022This letter studies the near-field modeling and performance analysis for multi-user extremely large-scale multiple-input multiple-output (XL-MIMO) communication.
Hai-Quan Lu, Yong Zeng
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IEEE Transactions on Communications, 2023
Unmanned aerial vehicle (UAV) equipped with large-scale antenna array constitutes a promising relaying candidate for reliable and secure satellite-terrestrial communication.
Dongxuan He +4 more
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Unmanned aerial vehicle (UAV) equipped with large-scale antenna array constitutes a promising relaying candidate for reliable and secure satellite-terrestrial communication.
Dongxuan He +4 more
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3D Point Cloud Completion Based on Multi-Scale Degradation
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023Recent advances in 3D point cloud completion adopt unsupervised deep learning-based methods, which does not rely on labeled data and improves generalization ability. However, existing methods tend to focus more on the generation overall shape rather than
Jianing Long +5 more
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How Does Performance Scale with Antenna Number for Extremely Large-Scale MIMO?
ICC 2021 - IEEE International Conference on Communications, 2020Extremely large-scale multiple-input multiple-output (XL-MIMO) communications correspond to systems whose antenna size is so large that conventional assumptions, such as uniform plane wave (UPW) impingement, are no longer valid.
Hai-Quan Lu, Yong Zeng
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Measurement science and technology
Traditional transformer-based fault diagnosis methods exhibit inherent limitations in extracting local features, making it challenging to effectively identify critical fault characteristics when processing rolling bearing vibration signals, especially in
You-Fu Tang, Tongtong Jin, Chun-Hui Li
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Traditional transformer-based fault diagnosis methods exhibit inherent limitations in extracting local features, making it challenging to effectively identify critical fault characteristics when processing rolling bearing vibration signals, especially in
You-Fu Tang, Tongtong Jin, Chun-Hui Li
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IEEE Transactions on Smart Grid
The large-scale access of distributed generations (DGs) increases the difficulty of islanding detection of DC microgrids. The DC islanding detection methods are still in their infancy and have low detection accuracy rate in the disturbed environments ...
Shu-Ping Gao, Zi-Mo Zhang, Guo-Bing Song
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The large-scale access of distributed generations (DGs) increases the difficulty of islanding detection of DC microgrids. The DC islanding detection methods are still in their infancy and have low detection accuracy rate in the disturbed environments ...
Shu-Ping Gao, Zi-Mo Zhang, Guo-Bing Song
semanticscholar +1 more source