Lossy coding problems are investigated for some communication systems in the presense of cascading and/or feedback information channels from decoders so as to refine reproduction messages. This framework provides different types of refinement structures from so-called successive refinement. Three different types of communication systems are considered, i.e. refinement systems in the presense of...

In the first paper of this two part communication, we solved in a unified framework a variety of two terminal source coding problems with noncooperative encoders, thereby consolidating works of Shannon, Slepian-Wolf, Wyner, Ahlswede-Körner, Wyner-Ziv, Berger et al. and Berger-Yeung. To achieve such unification we made use of a fundamental principle that dissociates bulk of the analysis from the...

The optimal coding problem in two-user white Gaussianchannels with feedback is discussed. The messages are taken as Gauss-Markov processes. The optimal decoder pair and the optimal linear encoderpair are developed. A nonlinear class (additive feedback type) of encoderpairs in which the optimal linear encoder pair is optimal is presented.

We prove a new outer bound on the rate-distortion region for the multiterminal source-coding problem. This bound subsumes the best outer bound in the literature and improves upon it strictly in some cases. The improved bound enables us to obtain a new, conclusive result for the binary erasure version of the “CEO problem.” The bound recovers many of the converse results that have been establishe...

We consider a multiterminal source coding problem in which a source is estimated at a central processing unit from lossycompressed remote observations. Each lossy-encoded observation is produced by a remote sensor which obtains a noisy version of the source and compresses this observation minimizing a local distortion measure which depends only on the marginal distribution of its observation. T...

We consider the problem of how to determine a fair source coding rate allocation method for the lossless data compression problem in multiterminal networks, e.g, the wireless sensor network where there are a large number of sources to be encoded. We model this problem by a game-theoretic approach and present a decomposition method for obtaining the Shapley value, a fair source coding rate vecto...

Multiterminal (MT) source coding refers to separate lossy encoding and joint decoding of multiple correlated sources. This paper presents two practical MT coding schemes under the same general framework of Slepian-Wolf coded quantization (SWCQ) for both direct and indirect quadratic Gaussian MT source coding problems with two encoders. The first asymmetric SWCQ scheme relies on quantization and...