0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessCompared with the traditional separated source-channel coding model, the performance of the joint source-channel coding will be better in the actual communication system. In addition, the typical decoding algorithms all belong to the algorithms of separated source-channel model. Therefore, the joint coding and decoding algorithm is particularly important and it will be recognized as of great significance in future communication. In this paper, in order to meet the future communication requirements, a scheme of polar code in joint coding is proposed. At the transmitter of the system, the source polarization is constructed by the Bhattacharyya parameter construction method and encoded by non- systematic polar code. For channel polarization, polarization weight construction method is used, which was independent of signal to noise ratio. A joint Belief Propagation (BP) decoder with a simple structure is adopted in the receiver, which includes a channel decoder and a source decoder. The joint decoder performs external iteration only through a few iterations, thus reducing the complexity and improving the efficiency of the communication system. Simulation results show that compared with the channel BP decoder, the performance gain of J-BP decoder is about 1.8dB.
Guojun Liao, Lin Zhou, Qiwang Chen, Lin Wang, Xi Wang (2023). Joint source-channel coding based on polar code. , pp. 32-32, DOI: 10.1117/12.2682864.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2023
Authors
5
Datasets
0
Total Files
0
Language
English
DOI
10.1117/12.2682864
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access