Suchergebnisse - "Deep joint source-channel coding"

Rateless Deep Joint Source Channel Coding for 3D Point Cloud

Autoren: Shoichi Ibuki Tsubasa Okamoto Takuya Fujihashi et al.

Quelle: IEEE Access, Vol 13, Pp 39585-39599 (2025)

Schlagwörter: Point cloud, deep joint source-channel coding, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Zugangs-URL: https://doaj.org/article/3ca81d66e6c94dc0bce5808581aebfea

Visually Secure Deep Joint Source-Channel Coding with Chaotic Map Against Deep Known-Plaintext Attack

Autoren: Yuyang Fu Katsuya Suto

Quelle: IEEE Open Journal of the Communications Society, Vol 6, Pp 1847-1858 (2025)

Schlagwörter: Chaotic map encryption, Telecommunication, image transmission, deep joint source-channel coding, TK5101-6720, visual security, Transportation and communications, known-plaintext attack, HE1-9990

Zugangs-URL: https://doaj.org/article/440ad10f799b45a693f7cf187b8208c2

An Efficient Federated Learning Framework for Training Semantic Communication Systems

Autoren: Loc X. Nguyen Huy Q. Le Ye Lin Tun et al.

Quelle: Nguyen, L X, Le, H Q, Tun, Y L, Aung, P S, Tun, Y K, Han, Z & Hong, C S 2024, 'An Efficient Federated Learning Framework for Training Semantic Communication Systems', I E E E Transactions on Vehicular Technology, vol. 73, no. 10, pp. 15872-15877. https://doi.org/10.1109/TVT.2024.3401140
Nguyen, L X, Le, H Q, Tun, Y L, Aung, P S, Tun, Y K, Han, Z & Hong, C S 2024, ' An Efficient Federated Learning Framework for Training Semantic Communication Systems ', IEEE Transactions on Vehicular Technology . < https://ui.adsabs.harvard.edu/abs/2023arXiv231013236N/abstract >

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, deep joint source-channel coding (JSCC). federated learning, Communication overhead, semantic communication, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2310.13236
https://arxiv.org/pdf/2310.13236
https://vbn.aau.dk/da/publications/112cbbfa-4e4b-43eb-89c7-98416264de36
http://www.scopus.com/inward/record.url?scp=85193265463&partnerID=8YFLogxK
https://doi.org/10.1109/TVT.2024.3401140
https://vbn.aau.dk/da/publications/73b4b88d-2ece-4454-a21f-256ee2fa98eb
https://ui.adsabs.harvard.edu/abs/2023arXiv231013236N/abstract

Diffusion-Aided Joint Source Channel Coding for High Realism Wireless Image Transmission

Autoren: Mingyu Yang Bowen Liu Boyang Wang et al.

Quelle: IEEE Transactions on Machine Learning in Communications and Networking, Vol 3, Pp 1227-1243 (2025)

Schlagwörter: Deep joint source-channel coding, image captioning, stable diffusion, text-to-image diffusion models, Electronic computers. Computer science, QA75.5-76.95, Telecommunication, TK5101-6720

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11224625/; https://doaj.org/toc/2831-316X

Zugangs-URL: https://doaj.org/article/86561e9108ba4e6eab8847fa3a26996f

TDJSCC: Low Complexity and Bandwidth Efficient Deep Joint Source-Channel Coding With OFDM

Autoren: Man Xu Chan-Tong Lam Yuanhui Liang et al.

Quelle: IEEE Access, Vol 13, Pp 150244-150257 (2025)

Schlagwörter: Deep joint source-channel coding, tensorized convolutional neural network, in-band pilots, OFDM, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11135500/; https://doaj.org/toc/2169-3536

Zugangs-URL: https://doaj.org/article/e0a67f2f9ea3419a8c2e6c800e6dce78