Name
Abstract | ||
|---|---|---|
A Slepian-Wolf coding scheme that can achieve arbitrary rate allocation amongtwo encoders was outlined in the work of Pradhan and Ramchandran. Inspired by thiswork, we start with a detailed solution for general (asymmetric or symmetric) Slepian-Wolfcoding based on partitioning a single systematic channel code, and continuewith practical code designs using advanced channel codes. By using systematic IRAand turbo codes, we devise a powerful scheme that is capable of approaching any pointon the Slepian-Wolf bound. We further study an extension of the technique to multiplesources, and show that for a particular correlation model among the sources, a singlepractical channel code can be designed for coding all the sources in symmetric andasymmetric scenarios. If the code approaches the capacity of the channel that modelsthe correlation between the sources, then the system will approach the Slepian-Wolflimit. Using systematic IRA and punctured turbo codes for coding two binary sources,each being independent identically distributed, with correlation modeled by a binarysymmetric channel, we obtain results which are 0.04 bits away from the theoreticallimit in both symmetric and asymmetric Slepian-Wolf settings. |
Year | Venue | Keywords |
|---|---|---|
2004 | Data Compression Conference | advanced channel code,systematic iraand turbo code,binarysymmetric channel,slepian-wolf codes,asymmetric slepian-wolf setting,slepian-wolf coding scheme,channel code partitioning,single systematic channel code,punctured turbo code,continuewith practical code,modelsthe correlation,singlepractical channel code,data compression,decoding,turbo codes,binary coding,resource management,entropy,channel coding,channel capacity,resource allocation,turbo code,source coding,parameter estimation,binary symmetric channel |
Field | DocType | ISSN |
Concatenated error correction code,Binary symmetric channel,Computer science,Systematic code,Low-density parity-check code,Theoretical computer science,Linear code,Distributed source coding,Decoding methods,Variable-length code | Conference | 1068-0314 |
ISBN | Citations | PageRank |
0-7695-2082-0 | 40 | 2.05 |
References | Authors | |
15 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir Stankovic | 1 | 538 | 52.80 |
| Angelos D. Liveris | 2 | 552 | 27.92 |
| Zixiang Xiong | 3 | 3444 | 275.03 |
| Costas N. Georghiades | 4 | 301 | 32.18 |