Two-way source coding with a fidelity criterion
IEEE Transactions on Information Theory
Learning in graphical models
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
The Gaussian many-help-one distributed source coding problem
IEEE Transactions on Information Theory
Gaussian multiterminal source coding
IEEE Transactions on Information Theory
Capacity results for the discrete memoryless network
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Two-way successively refined joint source-channel coding
IEEE Transactions on Information Theory
Rate Region of the Quadratic Gaussian Two-Encoder Source-Coding Problem
IEEE Transactions on Information Theory
Coding for Channels With Rate-Limited Side Information at the Decoder, With Applications
IEEE Transactions on Information Theory
Hi-index | 754.84 |
Consider the two-way rate-distortion problem in which a helper sends a common limited-rate message to both users based on side information at its disposal. We characterize the region of achievable rates and distortions when the Markov relation (Helper)-(User 1)-(User 2) holds. The main insight of the result is that in order to achieve the optimal rate, the helper may use a binning scheme, as in Wyner-Ziv, where the side information at the decoder is the "further" user, namely, User 2. We derive these regions explicitly for the Gaussian sources with square error distortion, analyze a tradeoff between the rate from the helper and the rate from the source, and examine a special case where the helper has the freedom to send different messages, at different rates, to the encoder and the decoder. The converse proofs use a technique for verifying Markov relations via undirected graphs.