Elements of information theory
Elements of information theory
Successive structuring of source coding algorithms for data fusion, buffering, and distribution in networks
On Multiterminal Source Code Design
DCC '05 Proceedings of the Data Compression Conference
Successive refinement for the Wyner-Ziv problem and layered code design
IEEE Transactions on Signal Processing - Part II
Distortion sum-rate performance of successive coding strategy in quadratic gaussian CEO problem
IEEE Transactions on Wireless Communications
The CEO problem [multiterminal source coding]
IEEE Transactions on Information Theory
The quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
Systematic lossy source/channel coding
IEEE Transactions on Information Theory
Sequential coding of correlated sources
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Duality between source coding and channel coding and its extension to the side information case
IEEE Transactions on Information Theory
On successive refinement for the Wyner-Ziv problem
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On Multistage Successive Refinement for Wyner–Ziv Source Coding With Degraded Side Informations
IEEE Transactions on Information Theory
Successive Wyner–Ziv Coding Scheme and Its Application to the Quadratic Gaussian CEO Problem
IEEE Transactions on Information Theory
On Multiterminal Source Code Design
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
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Multiterminal source coding refers to separate encoding and jointdecoding of multiple correlated sources. Joint decoding requires allthe messages to be decoded simultaneously which is exponentiallymore complex than a sequence of single-message decodings. Inspiredby previous work on successive coding, we apply the successiveWyner-Ziv coding, which is inherently a low complexity approach ofobtaining a prescribed distortion, to the two-terminal source codingscheme. First, we consider 1-helper problem where one sourceprovides partial side information to the decoder to help thereconstruction of the main source. Our results show that thesuccessive coding strategy is an optimal strategy in the sense ofachieving the rate-distortion function. By developing connectionsbetween source encoding and data fusion steps, it is shown that thewhole rate-distortion region for the 2-terminal sourcecoding problem is achievable using the successive coding strategy.Comparing the performance of the sequential coding with theperformance of the successive coding, we show that there is nosum-rate loss when the side information is not available at theencoder. This result is of special interest in some applicationssuch as video coding where there are processing and storageconstraints at the encoder. Finally, we provide an achievablerate-distortion region for the m-terminal source coding.