Results 231 to 240 of about 96,557 (255)
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Deep Learning Aided Joint Source-Channel Coding for Wireless Networks
2021 IEEE/CIC International Conference on Communications in China (ICCC), 2021Wireless image transmission and estimation techniques have found a variety of applications in 5G Internet of Things (IoT) under the finite block length transmissions. However, the traditional digital transmission scheme is known to suffer from the “cliff effect”.
Jintao Yan, Jianhao Huang, Chuan Huang
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D²-JSCC: Digital Deep Joint Source-Channel Coding for Semantic Communications
IEEE Journal on Selected Areas in CommunicationsJianhao Huang +3 more
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Deep joint source-channel coding for semantic communication
The evolution of artificial intelligence applications has exponentially increased the demand for efficient and low-latency transmission of large data volumes, posing significant challenges to conventional wireless communication systems. While conventional systems, known for simplicity and elegance, have been extensively studied with a focus on reliableopenaire +1 more source
Deep Joint Source-Channel Coding for Underwater Image Transmission
Proceedings of the 16th International Conference on Underwater Networks & Systems, 2022Khizar Anjum, Zhuoran Qi, Dario Pompili
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Demo: Deep Joint Source-Channel Coding for Underwater Image Transmission
Proceedings of the 16th International Conference on Underwater Networks & Systems, 2022Khizar Anjum, Zhuoran Qi, Dario Pompili
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Nonlinear Transform Source-Channel Coding for Semantic Communications
IEEE Journal on Selected Areas in Communications, 2022Jincheng Dai, Wang Sixian, Zhongwei Si
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Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach
IEEE Journal on Selected Areas in Communications, 2023Jialong Xu, Bo Ai, Ning Wang
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Low-Delay Analog Joint Source-Channel Coding With Deep Learning
IEEE Transactions on Communications, 2023Ziwei Xuan, Krishna Narayanan
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Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules
IEEE Transactions on Circuits and Systems for Video Technology, 2022Jialong Xu, Bo Ai, Wei Chen
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