cacophony 发表于 2025-3-26 22:29:47
1876-1100 gration of algorithms, hardware, software, and systems.This book brings together papers presented at the 2021 International Conference on Communications, Signal Processing, and Systems, Changbaishan, China, July 23-24, 2022, which provides a venue to disseminate the latest developments and to discusmacular-edema 发表于 2025-3-27 03:55:09
http://reply.papertrans.cn/24/2306/230552/230552_32.pngIrksome 发表于 2025-3-27 09:05:57
http://reply.papertrans.cn/24/2306/230552/230552_33.pngProponent 发表于 2025-3-27 11:08:31
http://reply.papertrans.cn/24/2306/230552/230552_34.pngextinguish 发表于 2025-3-27 17:04:56
,Directional Modulation Design Based on Hybrid Beamforming Structure for Massive MIMO,analog beamforming structure is widely adopted. In this paper, the DM design problem is studied based on such a hybrid implementation for the first time. As a representative example, the interleaved subarrays are used for the proposed design. Design examples are provided to show the effectiveness of the proposed design.有角 发表于 2025-3-27 20:33:28
http://reply.papertrans.cn/24/2306/230552/230552_36.pngNefarious 发表于 2025-3-27 23:18:36
https://doi.org/10.1007/978-3-031-49155-9idge path extraction method based on synchrosqueezed transformation is used to separate the components in time-frequency domain. Experimental results show that the proposed method achieves high accuracy in extracting component micro-Doppler features and recognizing UAV information.Eosinophils 发表于 2025-3-28 03:28:46
http://reply.papertrans.cn/24/2306/230552/230552_38.png集聚成团 发表于 2025-3-28 08:04:07
H. P. Garg,S. C. Mullick,A. K. Bhargavathe model under each algorithm, and the data set was validated using cross-validation. The results showed that the models trained with random forest could classify the “set” and “adjustment” labels with clinical applicability.Circumscribe 发表于 2025-3-28 13:59:53
,Micro-doppler Feature Extraction of UAVs Based on Synchrosqueezed Transform and Ridge Path Regroupiidge path extraction method based on synchrosqueezed transformation is used to separate the components in time-frequency domain. Experimental results show that the proposed method achieves high accuracy in extracting component micro-Doppler features and recognizing UAV information.