Name
Abstract | ||
|---|---|---|
Distributed source coding is a promising enabling technology for sensor network applications. Symmetric distributed source coding can achieve the entire Slepian-Wolf rate region and offer sensor network applications a wide range of options to compress and transmit data. In this paper, we design a new symmetric distributed coding scheme that realize the benefits of both simplified code construction and bit incorrespondence handling. In particular, we propose a general scheme to deal with the bit incorrespondence problem, which is not specifically addressed by previous approaches. With the ability to deal with the bit incorrespondence in the code structure, it is more likely for our approach to be used in real sensor network environments. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICC.2008.363 | ICC |
Keywords | Field | DocType |
low density parity check code,slepian-wolf rate region,sensor network,data compression,source coding,wireless sensor networks,bit incorrespondence problem,symmetric distributed source coding,data transmission,parity check codes,ldpc code,application software,distributed source coding,decoding,distributed computing,computer networks | Data transmission,Source code,Low-density parity-check code,Computer science,Computer network,Theoretical computer science,Coding (social sciences),Distributed source coding,Decoding methods,Data compression,Computer engineering,Wireless sensor network | Conference |
ISSN | ISBN | Citations |
1550-3607 | 978-1-4244-2075-9 | 2 |
PageRank | References | Authors |
0.37 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baochun Bai | 1 | 17 | 4.27 |
| Yang Yang | 2 | 259 | 18.33 |
| Pierre Boulanger | 3 | 321 | 37.79 |
| Janelle J. Harms | 4 | 95 | 15.09 |