Search Results - "joint source-channel coding"

Lossy State Communication over Fading Multiple Access Channels

Authors: Ramachandran, Viswanathan

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

Subject Terms: 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

File Description: print

Access URL: 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

Authors: Shoichi Ibuki Tsubasa Okamoto Takuya Fujihashi et al.

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

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

Access URL: https://doaj.org/article/3ca81d66e6c94dc0bce5808581aebfea

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

Authors: Loc X. Nguyen Kitae Kim Ye Lin Tun et al.

Source: 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

Subject Terms: 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

Access URL: 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

Authors: Shayan Hassanpour Matthias Hummert Dirk Wübben et al.

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

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

Access URL: https://doaj.org/article/c32e49cb262e4f2c87bf9119b8db9ef5

Joint Source-Channel Coding for Multi-Channel Vibrotactile Sensors

Authors: Tom Ogura Shogo Kitamura Takuya Fujihashi et al.

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

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

Access URL: https://doaj.org/article/9ebde4d9d23d4b05a3895ad08d5f47d5

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

Authors: Yuyang Fu Katsuya Suto

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

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

Access URL: https://doaj.org/article/440ad10f799b45a693f7cf187b8208c2

A star modulation network for wireless image semantic transmission

Authors: Xiangcheng Li Dongri Ban Zhaokai Ruan et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/85776b2b39a64df581580dfda2d3e116

An Efficient Federated Learning Framework for Training Semantic Communication Systems

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

Source: 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 >

Subject Terms: 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)

Access 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

Channel-Configurable Deep Wireless Speech Transmission

Authors: Bokaei, Mohammad Jensen, Jesper Doclo, Simon et al.

Source: 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)

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

File Description: application/pdf

Access URL: 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

Authors: Bokaei, Mohammad Jensen, Jesper Doclo, Simon et al.

Source: 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)

Subject Terms: 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

File Description: application/pdf

Access URL: 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

Authors: YU Chuangyu XU Yanyan PAN Shaoming

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/8d9c8ba91d8846979400f666fadd03d8

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

Authors: YANG Shuhan SHEN Bin HUANG Xiaoge

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/f1350cfd87854cfe8f3107a0260614ff

Generative AI for Physical Layer Communications: A Survey

Authors: Nguyen Van Huynh Jiacheng Wang Hongyang Du et al.

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

Subject Terms: 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

Access URL: http://arxiv.org/abs/2312.05594

Optimal Single-Shot Decoding of Quantum Codes

Authors: Aldo Cumitini Stefano Tinelli Balázs Matuz et al.

Source: IEEE Communications Letters. 28:1243-1247

Subject Terms: 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

Access URL: http://arxiv.org/abs/2310.18138

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

Authors: Mingyu Yang Bowen Liu Boyang Wang et al.

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

Subject Terms: 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

File Description: electronic resource

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

Access URL: https://doaj.org/article/86561e9108ba4e6eab8847fa3a26996f

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

Authors: Youming Sun Jiafeng Wang Lile Wei et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/f137a586e8364f96b5f4e39476839e5b

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

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

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/e0a67f2f9ea3419a8c2e6c800e6dce78

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

Authors: Shayan Hassanpour Alireza Danaee Dirk Wubben et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/e02101089d464d5bb53f9b6e7b70cd50

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

Authors: Akihiro Kuwabara Sorachi Kato Toshiaki Koike-Akino et al.

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

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

File Description: electronic resource

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

Access URL: https://doaj.org/article/0e1b6edc15504dbc8a83c5718581b709

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

Authors: Stavrou, Photios A. Skoglund, Mikael

Source: Automatica. 123

Subject Terms: 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

File Description: print

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