Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
The equivalence between Slepian-Wolf coding and channel coding under density evolution
IEEE Transactions on Communications
A converse coding theorem for mismatched decoding at the output of binary-input memoryless channels
IEEE Transactions on Information Theory - Part 2
The method of types [information theory]
IEEE Transactions on Information Theory
Nested linear/lattice codes for structured multiterminal binning
IEEE Transactions on Information Theory
Distributed source coding using syndromes (DISCUS): design and construction
IEEE Transactions on Information Theory
Channel capacity for a given decoding metric
IEEE Transactions on Information Theory
On the linear codebook-level duality between Slepian-Wolf coding and channel coding
IEEE Transactions on Information Theory
| Hi-index | 754.90 |
In this paper, Slepian-Wolf coding with a mismatched decoding metric is studied. Two different dualities between Slepian-Wolf coding and channel coding under mismatched decoding are established. These two dualities provide a systematic framework for comparing linear Slepian-Wolf codes, nonlinear Slepian-Wolf codes, and variable-rate Slepian-Wolf codes. In contrast with the fact that linear codes suffice to achieve the Slepian-Wolf limit under matched decoding, the minimum rate achievable with nonlinear Slepian-Wolf codes under mismatched decoding can be strictly lower than that achievable with linear Slepian-Wolf codes.