Network coding theory part II: multiple source
Communications and Information Theory
Network coding theory: single sources
Communications and Information Theory
Approximating the Gaussian multiple description rate region under symmetric distortion constraints
IEEE Transactions on Information Theory
Asymmetric multilevel diversity coding and asymmetric Gaussian multiple descriptions
IEEE Transactions on Information Theory
| Hi-index | 754.96 |
Multilevel diversity coding was introduced in recent work by Roche (1992) and Yeung (1995). In a multilevel diversity coding system, an information source is encoded by a number of encoders. There is a set of decoders, partitioned into multiple levels, with each decoder having access to a certain subset of the encoders. The reconstructions of the source by decoders within the same level are identical and are subject to the same distortion criterion. Inspired by applications in computer communication and fault-tolerant data retrieval, we study a multilevel diversity coding problem with three levels for which the connectivity between the encoders and decoders is symmetrical. We obtain a single-letter characterization of the coding rate region and show that coding by superposition is optimal for this problem. Generalizing to a symmetrical problem with an arbitrary number of levels, we derive a tight lower bound on the coding rate sum