The implementation of joint source-channel coding (JSCC) schemes using deep learning has accelerated the development of semantic communication research. Existing JSCC schemes based on deep learning (DL) are trained on a fixed signal-to-noise ratio (SNR); however, these trained models are not ...
一般来说,OraNet的复杂度远低于DeepJSCC-V模型,因此其推理效率要高得多。 4.SwinJSCC: Taming Swin Transformer for Deep Joint Source-Channel Coding 提出了一种基于Swin Transformer的改进模型,称为SwinJSCC(Swin Transformer for Joint Source-Channel Coding),用于深度联合源-信道编码(JSCC)。 整体框架: 创新点:...
In this paper, we propose two deep joint source and channel coding (DJSCC) structures with attention modules for the multi-input multi-output (MIMO) channel, including a serial structure and a parallel structure. With singular value decomposition (SVD)-based precoding scheme, the MIMO channel ca...
Deep Joint Source-Channel and Encryption Coding:Secure Semantic CommunicationsTze-Yang Tung, Deniz GündüzDepartment of Electrical and Electronics Engineering, Imperial College London{tze-yang.tung14, d.gunduz}@imperial.ac.ukAbstract—Deep learning driven joint source-channelcoding (JSCC) for wireless im...
Code used in paper DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback, appearing in IEEE Journal on Selected Areas in Information Theory (JSAIT). Arxiv IEEE JSAIT Authors: David Burth Kurka and Deniz Gündüz Usage: python jscc.py --help About...
In this paper, we propose two deep joint source and channel coding (DJSCC) structures with attention modules for the multi-input multi-output (MIMO) channel, including a serial structure and a parallel structure. With singular value decomposition (SVD)-based precoding scheme, the MIMO channel ca...
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Channel coding for telecommunications. John Wiley & Sons, Inc., 1999. 3 [7] Kristy Choi, Kedar Tatwawadi, Tsachy Weissman, and Ste- fano Ermon. Necst: Neural joint source-channel coding. In- ternational Conference on Machine Learning, 2018. 3, 5 [8] Ingemar J Cox, Matthew L Miller, ...
Deep Learning for Joint Source-Channel Coding of Text We consider the problem of joint source and channel coding of structured data such as natural language over a noisy channel. The typical approach to this problem in both theory and practice involves performing source coding to first compress ...
This paper proposes a novel digital deep joint source-channel coding (DeepJSCC) framework that achieves robust performance across diverse communication environments without requiring extensive retraining and prior knowledge of communication environments. Traditional digital DeepJSCC techniques often face ...