Search Results - Distributed deep joint source-channel coding
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1
Authors:
Source: GLOBECOM 2024 - 2024 IEEE Global Communications Conference. :1936-1941
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2
Authors: et al.
Source: 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Computer Vision and Pattern Recognition (cs.CV), Information Theory (cs.IT), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2310.04311
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3
Authors:
Source: IEEE International Conference on Communications (ICC)
Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Computer Vision and Pattern Recognition (cs.CV), Information Theory (cs.IT), Image and Video Processing (eess.IV), Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Electrical Engineering and Systems Science - Image and Video Processing, Machine Learning (cs.LG), 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing
Access URL: http://arxiv.org/abs/2211.09920
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4
Authors: et al.
Source: IEEE Transactions on Wireless Communications. :1-1
Subject Terms: Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering
Access URL: http://arxiv.org/abs/2411.12228
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5
Authors:
Source: 2024 IEEE Globecom Workshops (GC Wkshps). :1-6
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6
Authors: et al.
Source: GLOBECOM 2024 - 2024 IEEE Global Communications Conference. :986-991
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7
Authors: et al.
Source: IEEE Open Journal of the Communications Society, Vol 6, Pp 4462-4475 (2025)
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8
Authors: et al.
Source: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :5208-5212
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2201.10340
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9
Authors: et al.
Source: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :4623-4627
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Authors: et al.
Source: IEEE Transactions on Machine Learning in Communications and Networking, Vol 3, Pp 568-584 (2025)
Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, privacy-utility trade-off, DeepJSCC, Computer Science - Information Theory, Information Theory (cs.IT), end-to-end learning, deep learning, QA75.5-76.95, TK5101-6720, Electronic computers. Computer science, adversarial neural networks, Telecommunication, FOS: Electrical engineering, electronic engineering, information engineering, secure image transmission, Electrical Engineering and Systems Science - Signal Processing
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11
Authors: et al.
Contributors: et al.
Source: IEEE Transactions on Wireless Communications
Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Technology, SUCCESSIVE REFINEMENT, Computer Science - Machine Learning, Computer Science - Information Theory, cs.LG, 0805 Distributed Computing, 02 engineering and technology, Machine Learning (cs.LG), Engineering, DESIGN, MULTIPLE, cs.IT, 1005 Communications Technologies, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, joint source-channel coding, math.IT, Electrical Engineering and Systems Science - Signal Processing, Science & Technology, Information Theory (cs.IT), Image and Video Processing (eess.IV), eess.SP, Engineering, Electrical & Electronic, multiple description coding, Electrical Engineering and Systems Science - Image and Video Processing, wireless communication, Image transmission, successive refinement, 0906 Electrical and Electronic Engineering, Telecommunications, Electrical & Electronic, eess.IV, Networking & Telecommunications
File Description: application/pdf
Access URL: http://arxiv.org/pdf/2009.12480
http://arxiv.org/abs/2009.12480
http://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-12480
https://arxiv.org/abs/2009.12480
https://arxiv.org/pdf/2009.12480
https://ieeexplore.ieee.org/document/9464731
https://dblp.uni-trier.de/db/journals/corr/corr2009.html#abs-2009-12480
http://hdl.handle.net/10044/1/92917
https://hdl.handle.net/11380/1280022
https://doi.org/10.1109/TWC.2021.3090048 -
12
Authors: et al.
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Authors: et al.
Source: Electronics (2079-9292); Nov2023, Vol. 12 Issue 22, p4637, 18p
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15
Authors: et al.
Source: International Journal of Intelligent Systems; 12/10/2024, Vol. 2024, p1-14, 14p
Subject Terms: IMAGE transmission, DATA recovery, DEEP learning, CLASSIFICATION, SOURCE code
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16
Authors: et al.
Contributors: et al.
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Authors: et al.
Source: IEEE Signal Processing Letters; Jul2022, Vol. 29, p1442-1446, 5p
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Authors: et al.
Source: IEEE Journal on Selected Areas in Communications; Aug2022, Vol. 40 Issue 8, p2300-2316, 17p
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19
Authors:
Source: IEEE Transactions on Wireless Communications; Dec2021, Vol. 20 Issue 12, p8081-8095, 15p
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Authors: et al.
Source: Computational Intelligence. Apr2025, Vol. 41 Issue 2, p1-10. 10p.
Subject Terms: *CLEAN energy, BANDWIDTH allocation, DISTRIBUTED sensors, DATA compression, SMART meters, SENSOR networks
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