Distributed Source Coding and Its Applications in Relaying-Based Transmission

Distributed Source Coding: Symmetric Rates and Applications to Sensor Networks

We address the problem of distributed source coding using a practical and constructive approach 1], referred to as Distributed source coding using syndromes (DISCUS), with applications to sensor networks. We propose low complexity encoding and decoding methods based on linear codes, to achieve all points in the achievable rate region of Slepian-Wolf 2] problem. The extension of these concepts t...

Modern Error Control Codes and Applications to Distributed Source Coding

Robust Distributed Source Coding with Arbitrary Number of Encoders and Practical Code Design Technique

The robustness property can be added to DSC system at the expense of reducing performance, i.e., increasing the sum-rate. The aim of designing robust DSC schemes is to trade off between system robustness and compression efficiency. In this paper, after deriving an inner bound on the rate–distortion region for the quadratic Gaussian MDC based RDSC system with two encoders, the structure of...

Distributed Source Coding Under Logarithmic Loss and its Gaussian Counterparts

Achievable rate distortion region for the quadratic Gaussian multi-terminal source coding was recently solved by Wagner, Tavildar, and Viswanath [1]. Although it is a very important result, the proofs are somewhat ad-hoc and hard to be generalized. Recently, Courtade and Weissman [2] established the complete achievable rate region of two-encoder multi-terminal source coding problem under logari...

Networked Distributed Source Coding

The data sensed by different sensors in a sensor network is typically correlated. A natural question is whether the data correlation can be exploited in innovative ways along with network information transfer techniques to design efficient and distributed schemes for the operation of such networks. This necessarily involves a coupling between the issues of compression and networked data transmi...