拓扑码：图像通信系统中的拓扑信息错误检测与校正

IF 3.7 3区计算机科学 Q2 TELECOMMUNICATIONS

IEEE Communications Letters Pub Date : 2025-03-11 DOI:10.1109/LCOMM.2025.3550131

Hongzhi Guo

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引用次数: 0

摘要

沉浸式通信技术，如扩展现实（XR）和全息类型通信需要高数据速率低延迟服务。由于传输的数据量巨大，比特级指标无法全面评估这些场景中的体验质量（QoE）。这封信函提出了Topocode，它利用拓扑数据分析（TDA）和持久同源性来编码拓扑信息，用于图像通信系统中的消息级错误检测和纠正。它引入了最小的冗余，同时实现了有效的数据重建，特别是在低信噪比（SNR）场景下。Topocode提供了一种很有前途的方法来满足下一代通信系统优先考虑消息级完整性的需求。

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Topocode: Topologically Informed Error Detection and Correction in Image Communication Systems

Immersive communication technologies such as eXtended Reality (XR) and holographic-type communications require high-data-rate low-latency services. Due to the massive amount of transmitted data, bit-level metrics cannot comprehensively evaluate the Quality-of-Experience (QoE) in these scenarios. This letter proposes Topocode which leverages Topological Data Analysis (TDA) and persistent homology to encode topological information for message-level error detection and correction in image communication systems. It introduces minimal redundancy while enabling effective data reconstruction, especially in low Signal-to-Noise Ratio (SNR) scenarios. Topocode offers a promising approach to meet the demands of next-generation communication systems prioritizing message-level integrity.

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来源期刊

IEEE Communications Letters 工程技术-电信学

CiteScore

8.10

自引率

7.30%

发文量

590

审稿时长

2.8 months

期刊介绍： The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.