Výsledky vyhledávání - "Joint source-channel coding"

Lossy State Communication over Fading Multiple Access Channels

Autoři: Ramachandran, Viswanathan

Zdroj: Entropy. 25(4):1-22

Témata: joint source-channel coding, joint compression and error correction, distortion-rate trade-off region, multiple access channels, fading channels, MMSE, dirty paper coding, Electrical Engineering, Elektro- och systemteknik

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-325112
https://doi.org/10.3390/e25040588

Rateless Deep Joint Source Channel Coding for 3D Point Cloud

Autoři: Shoichi Ibuki Tsubasa Okamoto Takuya Fujihashi a další

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

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

Přístupová URL adresa: https://doaj.org/article/3ca81d66e6c94dc0bce5808581aebfea

Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation

Autoři: Loc X. Nguyen Kitae Kim Ye Lin Tun a další

Zdroj: Nguyen, L X, Kim, K T, Tun, Y L, Sheik, S H, Tun, Y K, Han, Z & Hong, C S 2024, 'Optimizing Multi-User Semantic Communication via Transfer Learning and Knowledge Distillation', I E E E Communications Letters, vol. 29, no. 1, 10755087, pp. 90-94. https://doi.org/10.1109/LCOMM.2024.3499956

Témata: FOS: Computer and information sciences, Multiple users in SemCom, Computer Science - Information Theory, Information Theory (cs.IT), Joint source-channel coding, Knowledge distillation, Transfer learning

Přístupová URL adresa: http://arxiv.org/abs/2406.03773
https://vbn.aau.dk/da/publications/ab130c87-a018-406e-9f8f-1b7f80ac9b59
https://doi.org/10.1109/LCOMM.2024.3499956
http://www.scopus.com/inward/record.url?scp=85207145619&partnerID=8YFLogxK
https://arxiv.org/pdf/2406.03773v1

A Deep Variational Approach to Multiterminal Joint Source-Channel Coding Based on Information Bottleneck Principle

Autoři: Shayan Hassanpour Matthias Hummert Dirk Wübben a další

Zdroj: IEEE Open Journal of the Communications Society, Vol 6, Pp 4462-4475 (2025)

Témata: information bottleneck, Telecommunication, auto-encoders, deep learning, joint source-channel coding, TK5101-6720, Transportation and communications, 6G, HE1-9990

Přístupová URL adresa: https://doaj.org/article/c32e49cb262e4f2c87bf9119b8db9ef5

Joint Source-Channel Coding for Multi-Channel Vibrotactile Sensors

Autoři: Tom Ogura Shogo Kitamura Takuya Fujihashi a další

Zdroj: IEEE Access, Vol 13, Pp 7736-7745 (2025)

Témata: Electrical engineering. Electronics. Nuclear engineering, Multi-channel vibrotactile signal, joint source-channel coding (JSCC), TK1-9971

Přístupová URL adresa: https://doaj.org/article/9ebde4d9d23d4b05a3895ad08d5f47d5

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

Autoři: Yuyang Fu Katsuya Suto

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

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

Přístupová URL adresa: https://doaj.org/article/440ad10f799b45a693f7cf187b8208c2

A star modulation network for wireless image semantic transmission

Autoři: Xiangcheng Li Dongri Ban Zhaokai Ruan a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Témata: Joint source-channel coding, Channel state adaptation, Channel bandwidth ratio adaptation, Lightweight, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/85776b2b39a64df581580dfda2d3e116

An Efficient Federated Learning Framework for Training Semantic Communication Systems

Autoři: Loc X. Nguyen Huy Q. Le Ye Lin Tun a další

Zdroj: 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 >

Témata: 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)

Přístupová URL adresa: 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

Channel-Configurable Deep Wireless Speech Transmission

Autoři: Bokaei, Mohammad Jensen, Jesper Doclo, Simon a další

Zdroj: Bokaei, M, Jensen, J, Doclo, S & Østergaard, J 2024, Channel-Configurable Deep Wireless Speech Transmission. in 2024 IEEE Wireless Communications and Networking Conference, WCNC 2024-Proceedings., 10570880, IEEE (Institute of Electrical and Electronics Engineers), IEEE Wireless Communications and Networking Conference, WCNC, 25th IEEE Wireless Communications and Networking Conference, WCNC 2024, Dubai, United Arab Emirates, 21/04/2024. https://doi.org/10.1109/WCNC57260.2024.10570880
2024 IEEE Wireless Communications and Networking Conference (WCNC)

Témata: speech transmission, edge communication, joint source-channel coding, low-latency

Popis souboru: application/pdf

Přístupová URL adresa: http://www.scopus.com/inward/record.url?scp=85198839160&partnerID=8YFLogxK
https://vbn.aau.dk/ws/files/768586786/WCNC_2024_arxive_version.pdf
https://doi.org/10.1109/WCNC57260.2024.10570880
https://vbn.aau.dk/da/publications/2ec993dc-4486-41b5-abc5-30db01cd6481

Deep Low-Latency Joint Speech Transmission and Enhancement over A Gaussian Channel

Autoři: Bokaei, Mohammad Jensen, Jesper Doclo, Simon a další

Zdroj: Bokaei, M, Jensen, J, Doclo, S & Østergaard, J 2024, Deep Low-Latency Joint Speech Transmission and Enhancement over A Gaussian Channel. in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024-Proceedings. IEEE (Institute of Electrical and Electronics Engineers), pp. 525-529, 49th IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024, Seoul, Korea, Republic of, 14/04/2024. https://doi.org/10.1109/ICASSPW62465.2024.10626232
Bokaei, M, Jensen, J, Doclo, S & Østergaard, J 2024 'Deep low-latency joint speech transmission and enhancement over a gaussian channel' arXiv. https://doi.org/10.48550/arXiv.2404.19375
Bokaei, M, Jensen, J, Doclo, S & Østergaard, J 2024 ' Deep low-latency joint speech transmission and enhancement over a gaussian channel ' arXiv . https://doi.org/10.48550/arXiv.2404.19375
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

Témata: cs.SD, FOS: Computer and information sciences, Sound (cs.SD), Audio and Speech Processing (eess.AS), analogue speech transmission, FOS: Electrical engineering, electronic engineering, information engineering, joint source-channel coding, speech enhancement, low-latency, eess.AS, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2404.19375
https://arxiv.org/pdf/2404.19375
https://vbn.aau.dk/da/publications/4061eddd-93d9-499c-a186-7e3bc5061fdb
https://doi.org/10.1109/ICASSPW62465.2024.10626232
http://www.scopus.com/inward/record.url?scp=85202444750&partnerID=8YFLogxK
https://vbn.aau.dk/ws/files/738534765/2404.19375v1.pdf
https://vbn.aau.dk/da/publications/a68705c0-09d2-4950-9c62-d3a0bb75bfa2
https://doi.org/10.48550/arXiv.2404.19375

Lightweight joint source-channel coding method based on MIMO-CSI prediction

Autoři: YU Chuangyu XU Yanyan PAN Shaoming

Zdroj: Dianxin kexue, Vol 41, Pp 29-47 (2025)

Témata: joint source-channel coding, semantic communication, channel state information, MIMO, image transmission, feature allocation, Telecommunication, TK5101-6720, Technology

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1000-0801

Přístupová URL adresa: https://doaj.org/article/8d9c8ba91d8846979400f666fadd03d8

Wireless semantic image transmission system based on deep flexible coding strategy and performance prediction

Autoři: YANG Shuhan SHEN Bin HUANG Xiaoge

Zdroj: Tongxin xuebao, Vol 46, Pp 29-46 (2025)

Témata: coding flexibility, semantic image transmission, joint source-channel coding, performance prediction, Telecommunication, TK5101-6720

Popis souboru: electronic resource

Relation: http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2025094; https://doaj.org/toc/1000-436X

Přístupová URL adresa: https://doaj.org/article/f1350cfd87854cfe8f3107a0260614ff

Generative AI for Physical Layer Communications: A Survey

Autoři: Nguyen Van Huynh Jiacheng Wang Hongyang Du a další

Zdroj: IEEE Transactions on Cognitive Communications and Networking. 10:706-728

Témata: Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Artificial intelligence, Generative adversarial networks, Physical layer, Computer Science - Artificial Intelligence, IRS, Wireless communication, Channel estimation, 02 engineering and technology, Surveys, Channel estimation and equalization, Computer Science - Networking and Internet Architecture, Joint source channel coding, Artificial Intelligence (cs.AI), Beamforming, Generative AI, 0202 electrical engineering, electronic engineering, information engineering, Physical layer communications, Physical layer security

Přístupová URL adresa: http://arxiv.org/abs/2312.05594

Optimal Single-Shot Decoding of Quantum Codes

Autoři: Aldo Cumitini Stefano Tinelli Balázs Matuz a další

Zdroj: IEEE Communications Letters. 28:1243-1247

Témata: FOS: Computer and information sciences, Quantum Physics, 68P30, CSS codes, Computer Science - Information Theory, Information Theory (cs.IT), quantum error correcting codes, joint source-channel coding, FOS: Physical sciences, Quantum Physics (quant-ph), Optimal decoding

Přístupová URL adresa: http://arxiv.org/abs/2310.18138

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

Autoři: Mingyu Yang Bowen Liu Boyang Wang a další

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

Témata: 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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/86561e9108ba4e6eab8847fa3a26996f

Lightweight and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication

Autoři: Youming Sun Jiafeng Wang Lile Wei a další

Zdroj: IEEE Access, Vol 13, Pp 158285-158301 (2025)

Témata: ConvNeXt, lightweight model, joint source channel coding, semantic communication, wireless image transmission, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11153818/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/f137a586e8364f96b5f4e39476839e5b

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

Autoři: Man Xu Chan-Tong Lam Yuanhui Liang a další

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

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

Popis souboru: electronic resource

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

Přístupová URL adresa: https://doaj.org/article/e0a67f2f9ea3419a8c2e6c800e6dce78

Forward-Aware Multi-Source Distributed Vector Quantization for Noisy Channels via Information Bottleneck Principle

Autoři: Shayan Hassanpour Alireza Danaee Dirk Wubben a další

Zdroj: IEEE Open Journal of the Communications Society, Vol 6, Pp 7424-7440 (2025)

Témata: 6G, information bottleneck method, joint source-channel coding, multi-user compression, Telecommunication, TK5101-6720, Transportation and communications, HE1-9990

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11150514/; https://doaj.org/toc/2644-125X

Přístupová URL adresa: https://doaj.org/article/e02101089d464d5bb53f9b6e7b70cd50

JSCC-Aided INR for High-Frequency Detail Preservation in LiDAR

Autoři: Akihiro Kuwabara Sorachi Kato Toshiaki Koike-Akino a další

Zdroj: IEEE Open Journal of the Communications Society, Vol 6, Pp 6352-6367 (2025)

Témata: LiDAR, point clouds, joint source-channel coding, pseudo-analog transmission, implicit neural representation, Telecommunication, TK5101-6720, Transportation and communications, HE1-9990

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11105448/; https://doaj.org/toc/2644-125X

Přístupová URL adresa: https://doaj.org/article/0e1b6edc15504dbc8a83c5718581b709

LQG control and linear policies for noisy communication links with synchronized side information at the decoder

Autoři: Stavrou, Photios A. Skoglund, Mikael

Zdroj: Automatica. 123

Témata: Causal side information, Estimation, Identification, Linear joint source-channel coding, LQG control, Rate distortion theory, Separation principle, Closed loop control systems, Convex optimization, Decoding, Gaussian distribution, Gaussian noise (electronic), Information retrieval, Linear control systems, Signal encoding, Stochastic systems, Additive Gaussian noise, Causal side informations, Convex optimization problems, Joint source-channel coding, Linear time invariant, Linear time invariant plant, Multivariate Gaussian Process, Optimal communication, Channel coding

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285279
https://doi.org/10.1016/j.automatica.2020.109306