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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nayak, J. Tuncel, E. Gunduz, D. |
| Copyright Year | 1963 |
| Abstract | This paper addresses lossy transmission of a common source over a broadcast channel when there is correlated side information at the receivers, with emphasis on the quadratic Gaussian and binary Hamming cases. A digital scheme that combines ideas from the lossless version of the problem, i.e., Slepian-Wolf coding over broadcast channels, and dirty paper coding, is presented and analyzed. This scheme uses layered coding where the common layer information is intended for both receivers and the refinement information is destined only for one receiver. For the quadratic Gaussian case, a quantity characterizing the combined quality of each receiver is identified in terms of channel and side information parameters. It is shown that it is more advantageous to send the refinement information to the receiver with ¿better¿ combined quality. In the case where all receivers have the same overall quality, the presented scheme becomes optimal. Unlike its lossless counterpart, however, the problem eludes a complete characterization. |
| Sponsorship | IEEE Information Theory Society |
| Starting Page | 1782 |
| Ending Page | 1799 |
| Page Count | 18 |
| File Size | 609241 |
| File Format | |
| ISSN | 00189448 |
| Volume Number | 56 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Broadcasting Propagation losses Sensor phenomena and characterization Information theory Telecommunications Channel coding Channel capacity Gaussian channels Wyner–Ziv coding Broadcast channels dirty paper coding Slepian–Wolf coding |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Information Systems Computer Science Applications |
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