扩展的布拉胡特-阿里莫托算法用于语义速率扭曲函数
Yuxin Han1,2, Yang Liu1,2, Yaping Sun2,3
1Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.
本研究介绍了扩展的Blahut-Arimoto (EBA) 算法用于语义通信,通过关注意义来提高效率. 欧洲银行算法计算了语义速率扭曲函数,其性能优于经典方法.
科学领域:
- 信息理论 信息理论
- 通信系统 通信系统
- 人工智能的人工智能
背景情况:
- 语义沟通通过优先考虑意义,提供了比经典方法更高的效率.
- 布拉胡特-阿里莫托 (BA) 算法是经典信息理论中计算速率扭曲函数的基石.
- 将经典信息理论扩展到语义通信需要新的分析工具.
研究的目的:
- 提出扩展的Blahut-Arimoto (EBA) 算法用于计算语义速率扭曲函数.
- 为未知同义映射的场景开发一个优化框架.
- 为分析语义知识库 (SKB) 大小及其对沟通的影响提供理论基础.
主要方法:
- 扩展的Blahut-Arimoto (EBA) 算法反复更新用于语义速率扭曲计算的分布.
- 一个优化框架将EBA与模拟回火相结合,解决未知的同义映射.
- 语义知识库 (SKB) 被用作同义映射的一个具体实例.
主要成果:
- 在EBA算法有效计算语义速率扭曲函数.
- 对于高斯源,语义速率扭曲函数随着同义数的增加而下降,优于经典方法.
- 较大的SKB大小与在语义通信中更高的压缩效率相关,如CUB数据集所示.
结论:
- EBA算法是用于语义通信分析的验证和有效工具.
- 语义通信,特别是在较大的SKB中,在压缩效率方面提供了显著的优势.
- 这项工作为理解和优化语义通信系统提供了理论基础.
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