1 citations · 3 across the 11 of their papers we have counts for
5 papers · 2 filters
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency
Jincheng Dai, Xiaoqi Qin, Sixian Wang +3
Information theory and machine learning are inextricably linked and have even been referred to as "two sides of the same coin". One particularly elegant connection is the essential…
Semantic Huffman Coding using Synonymous Mapping
Jin Xu, Kai Niu, Zijian Liang +1
Semantic communication stands out as a highly promising avenue for future developments in communications. Theoretically, source compression coding based on semantics can achieve lo…
Semantic Arithmetic Coding using Synonymous Mappings
Zijian Liang, Kai Niu, Jin Xu +1
Recent semantic communication methods explore effective ways to expand the communication paradigm and improve the system performance of the communication systems. Nonetheless, the…
A Mathematical Theory of Semantic Communication: Overview
Kai Niu, Ping Zhang
Semantic communication initiates a new direction for future communication. In this paper, we aim to establish a systematic framework of semantic information theory (SIT). First, we…
A Mathematical Theory of Semantic Communication
Kai Niu, Ping Zhang
The year 1948 witnessed the historic moment of the birth of classic information theory (CIT). Guided by CIT, modern communication techniques have approached the theoretic limitatio…