使用同义映射进行语义算术编码
Zijian Liang1, Kai Niu1,2, Jin Xu1
1Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Entropy (Basel, Switzerland)
|April 26, 2025
概括
这项研究引入了语义算术编码 (SAC) 以实现无损数据压缩. SAC利用同义词来提高含义数据的压缩效率,优于传统方法.
科学领域:
- 信息理论 信息理论
- 计算机科学 计算机科学
- 通信系统 通信系统
背景情况:
- 语义通信方法旨在提高系统性能,但往往未能明确利用语义的本质.
- 一个新的观点建立了基于同义词作为基本的语义特征的语义信息理论.
研究的目的:
- 提出一种新的语义算术编码 (SAC) 方法,用于语义无损压缩.
- 为了在语义层面上提高压缩效率,利用同义词.
主要方法:
- 开发了一种基于同义词的语义算术编码 (SAC) 方法.
- 在同义集合上构建了同义映射和应用算术编码.
- 在边缘纹理地图压缩上评估了SAC.
主要成果:
- 通过在语义层面操作,SAC实现了对含义源序列的更高压缩效率.
- 该方法接近语义极限.
- 实验结果显示,与传统的算术编码相比,编码效率显著提高,没有语义损失.
结论:
- 语义算术编码 (SAC) 通过使用同义词有效地提高了压缩效率.
- 拟议的方法在语义无损压缩方面取得了重大进展.
- 在诸如边缘纹理地图压缩等应用中,SAC证明了其实际有效性.
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