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Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 1 Wei Wang,Xin Liu,Baoju Zhang Conference proceedings 2024 The Editor(s)

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楼主: vein220
发表于 2025-3-23 09:57:15 | 显示全部楼层
Channel Imbalance Calibration for Digital Beamforming SAR System in Elevation,er, the unavoidable channel mismatch among received channels is a key issue. Channel imbalance deserves special attention in DBF system since the uncompensated channel errors may cause sidelobes rising, time-variant shift, a broadening of the impulse response, as well as the error of beam-steering d
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Spring Flow Prediction Model Based on VMD and Attention Mechanism LSTM,iction, a hybrid model is used to predict, which combines variational modal decomposition (VMD), long and short-term memory (LSTM) network, and attention mechanism to overcome the endpoint effect and modal confounding problems of traditional empirical modal decomposition. This study explores the per
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,A Parity Check Matrix-Based Method for Identifying Parameter of Regular F-LDPC Codes, from signal layer to information layer, which is widely used in signal monitoring, information acquisition, intelligent communication and other fields. This paper proposes a parity-check matrixbased F-LDPC codes parameter identification method by studying the F-LDPC codes coding mechanism and parit
发表于 2025-3-24 01:23:10 | 显示全部楼层
,Over-the-Air Distributed Neural Network in Internet of Things with Threat Modeling for Replay Attacnt security monitoring and defense against network threats. However, the massive amounts of data generated by IoT applications and limited computational capabilities present significant challenges in implementing typical applications, such as secure protocols for data confidentiality. Over-The-Air (
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,An Unsupervised Domain Adaptation-Based Device-Free Sensing Approach for Cross-Weather Target Recogpularity is primarily attributed to its inherent advantage of not requiring specialized sensing equipment beyond wireless transceivers. Concerning weather variations, DFS heavily relies on labeled data for model training, which necessitates the annotation of samples for each weather environment. How
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