Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
Separating distributed source coding from network coding
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Universal Coding for Correlated Sources with Complementary Delivery
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Universal coding for correlated sources with linked encoders
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
An algebraic construction of codes for Slepian-Wolf source networks
IEEE Transactions on Information Theory
Communicating via a processing broadcast satellite
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Networked Slepian-Wolf: theory, algorithms, and scaling laws
IEEE Transactions on Information Theory
Network information flow with correlated sources
IEEE Transactions on Information Theory
A Random Linear Network Coding Approach to Multicast
IEEE Transactions on Information Theory
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This paper deals with a universal coding problem for a certain kind of multiterminal source coding network called a generalized complementary delivery network. In this network, messages from multiple correlated sources are jointly encoded, and each decoder has access to some of the messages to enable it to reproduce the other messages. Both fixed-to-fixed length and fixed-to-variable length lossless coding schemes are considered. Explicit constructions of universal codes and the bounds of the error probabilities are clarified by using methods of types and graph-theoretical analysis.