Layered Wyner-Ziv video coding for transmission over unreliable channels
Signal Processing - Special section: Distributed source coding
An Application of Linear Codes to the Problem of Source Coding with Partial Side Information
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Compress-spread-forward with multiterminal source coding and complete complementary sequences
IEEE Transactions on Communications
A flexible rate Slepian-Wolf code construction
IEEE Transactions on Communications
Distributed arithmetic coding for the Slepian-Wolf problem
IEEE Transactions on Signal Processing
IEEE Transactions on Image Processing
On practical design for joint distributed source and network coding
IEEE Transactions on Information Theory
Asynchronous Slepian-Wolf code design
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
On the redundancy of Slepian--Wolf coding
IEEE Transactions on Information Theory
The equivalence between Slepian-Wolf coding and channel coding under density evolution
IEEE Transactions on Communications
LDPC code design for asynchronous Slepian-Wolf coding
IEEE Transactions on Communications
Adaptive Slepian-Wolf decoding using particle filtering based belief propagation
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Stereo image transmission over fading channels with multiterminal source coding
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Distributed source coding with cyclic codes and their duals
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Distributed Video Coding: an overview of basics, research issues and solutions
International Journal of Ad Hoc and Ubiquitous Computing
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A Slepian-Wolf coding scheme for compressing two uniform memoryless binary sources using a single channel code that can achieve arbitrary rate allocation among encoders was outlined in the work of Pradhan and Ramchandran. Inspired by this work, we address the problem of practical code design for general multiterminal lossless networks where multiple memoryless correlated binary sources are separately compressed and sent; each decoder receives a set of compressed sources and attempts to jointly reconstruct them. First, we propose a near-lossless practical code design for the Slepian-Wolf system with multiple sources. For two uniform sources, if the code approaches the capacity of the channel that models the correlation between the sources, then the system will approach the theoretical limit. Thus, the great advantage of this design method is its possibility to approach the theoretical limits with a single channel code for any rate allocation among the encoders. Based on Slepian-Wolf code constructions, we continue with providing practical designs for the general lossless multiterminal network which consists of an arbitrary number of encoders and decoders. Using irregular repeat-accumulate and turbo codes in our designs, we obtain the best results reported so far and almost reach the theoretical bounds.