Suchergebnisse - deep source coding

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

Autoren: Shayan Hassanpour Matthias Hummert Dirk Wubben et al.

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

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

Dateibeschreibung: electronic resource

Relation: https://ieeexplore.ieee.org/document/11005413/; https://doaj.org/toc/2644-125X

Zugangs-URL: https://doaj.org/article/c32e49cb262e4f2c87bf9119b8db9ef5

D2-JSCC: Digital Deep Joint Source-channel Coding for Semantic Communications

Autoren: Huang, Jianhao Yuan, Kai Huang, Chuan et al.

Quelle: 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). :1-7

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Computer Science - Multimedia, Multimedia (cs.MM)

Zugangs-URL: http://arxiv.org/abs/2403.07338

A Deep Joint Source Channel Coding Scheme with Adaptive Feature Enhancement

Autoren: Qingping YU Yuan SUN You ZHANG et al.

Quelle: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2025, E108.A(4):655-659

Adaptable Deep Joint Source-and-Channel Coding for Small Satellite Applications

Autoren: Kondrateva, Olga Dietzel, Stefan Scheuermann, Björn

Index Begriffe: Computer Science - Networking and Internet Architecture, text

URL: http://arxiv.org/abs/2407.18146

Feature-Driven Joint Source–Channel Coding for Robust 3D Image Transmission.

Autoren: Liu, Yinuo Xu, Hao Bowman, Adrian et al.

Quelle: Electronics (2079-9292); Oct2025, Vol. 14 Issue 19, p3907, 17p

Schlagwörter: CHANNEL coding, AUGMENTED reality, DEEP learning, VIDEO compression, ROBUST control, DATA compression

Federated Codebook for Multi - User Deep Source Coding

Autoren: Chae-Hoon Park Jinhyuk Choi Jihong Park et al.

Quelle: 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). :994-996

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Deep Learning-Based Distributed Remote Source Coding via Information Bottleneck Method: The Parallel Processing Scheme

Autoren: Shayan Hassanpour Matthias Hummert Dirk Wübben et al.

Quelle: 2025 IEEE International Conference on Communications Workshops (ICC Workshops). :1652-1657

DeepStream: Prototyping Deep Joint Source-Channel Coding for Real-Time Multimedia Transmissions

Autoren: Chi, Kaiyi He, Yinghui Yang, Qianqian et al.

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Multimedia, Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Multimedia (cs.MM)

Zugangs-URL: http://arxiv.org/abs/2509.05971

Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules

Autoren: Jialong Xu Bo Ai Wei Chen et al.

Quelle: IEEE Transactions on Circuits and Systems for Video Technology. 32:2315-2328

Schlagwörter: FOS: Computer and information sciences, Joint source channel coding, Computer Science - Information Theory, Information Theory (cs.IT), deep neural network, 0202 electrical engineering, electronic engineering, information engineering, deep learning, 02 engineering and technology, attention mechanism

Zugangs-URL: http://arxiv.org/pdf/2012.00533
http://arxiv.org/abs/2012.00533
https://arxiv.org/pdf/2012.00533.pdf
https://arxiv.org/abs/2012.00533
https://ieeexplore.ieee.org/abstract/document/9438648
https://dblp.uni-trier.de/db/journals/corr/corr2012.html#abs-2012-00533
http://export.arxiv.org/pdf/2012.00533
http://ui.adsabs.harvard.edu/abs/2020arXiv201200533X/abstract
https://discovery-pp.ucl.ac.uk/id/eprint/10147005/

Deep Learning-based Source Code Classification and Visualization of Decision Rationales.

Autoren: Oeda, Shinichi Mitsumori, Seiya

Quelle: Procedia Computer Science. 2024, Vol. 246, p2753-2761. 9p.

Schlagwörter: Source code, Structural models, Linear network coding, Artificial intelligence, Information resources, Deep learning

Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications

Autoren: Tung, Tze-Yang Gunduz, Deniz

Quelle: ICC 2023 - IEEE International Conference on Communications. :5620-5625

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Cryptography and Security, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 0102 computer and information sciences, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, Cryptography and Security (cs.CR), 01 natural sciences

Zugangs-URL: http://arxiv.org/abs/2208.09245

Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach

Autoren: Jialong Xu Bo Ai Ning Wang et al.

Quelle: IEEE Journal on Selected Areas in Communications. 41:260-273

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2203.16005

Energy Backdoor Attack to Deep Neural Networks

Autoren: Brachemi Meftah, Hanene Hamidouche, Wassim Fezza, Sid Ahmed et al.

Weitere Verfasser: Brachemi Meftah, Hanene Hamidouche, Wassim Fezza, Sid Ahmed et al.

Quelle: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Schlagwörter: Optimization, Speech processing, Complexity theory, Energy efficiency, Signal processing, Artificial neural networks, Catalysts, Source coding, Energy consumption, Deep learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

Zugangs-URL: http://arxiv.org/abs/2501.08152

Impact of training models on deep joint source-channel coding applicable to 5G systems

Autoren: Ryunosuke Yamamoto Keigo Matsumoto Yoshiaki Inoue et al.

Quelle: IEICE Communications Express. 2024, 13(12):466-469

Universal and Succinct Source Coding of Deep Neural Networks

Autoren: Sourya Basu Lav R. Varshney

Quelle: IEEE Journal on Selected Areas in Information Theory. 3:732-745

Schlagwörter: 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)

Zugangs-URL: http://arxiv.org/abs/1804.02800

Deep Source-Channel Coding for Sentence Semantic Transmission With HARQ

Autoren: Peiwen Jiang Chao-Kai Wen Shi Jin et al.

Quelle: IEEE Transactions on Communications. 70:5225-5240

Schlagwörter: Signal Processing (eess.SP), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2106.03009

Deep joint source-channel coding for wireless image transmission with auxiliary semantics.

Autoren: Feng, Jianxin Cao, Ge Liu, Junqi et al.

Quelle: Physical Communication. Dec2025, Vol. 73, pN.PAG-N.PAG. 1p.

Deep Joint Source-Channel Coding for CSI Feedback: An End-to-End Approach

Autoren: Xu, Jialong Ai, Bo Wang, Ning et al.

Index Begriffe: Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing, text

URL: http://arxiv.org/abs/2203.16005

A Delay-Efficient Deep Learning Approach for Lossless Turbo Source Coding

Autoren: Solmaz Manouchehri Javad Haghighat Mohsen Eslami et al.

Quelle: IEEE Transactions on Vehicular Technology. 71:6704-6709

Schlagwörter: 0203 mechanical engineering, 02 engineering and technology, 01 natural sciences, 0104 chemical sciences

Deep Correlated Image Set Compression Based on Distributed Source Coding and Multi-Scale Fusion

Autoren: Jin Wang Yunhui Shi Yinsen Xing et al.

Quelle: 2022 Data Compression Conference (DCC). :192-201

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences, 0105 earth and related environmental sciences