Name
Abstract | ||
|---|---|---|
The vacationing chief executive officer (CEO) problem combines the salient features of the so-called CEO problem and the multiple-description (MD) problem. In this setting, noisy versions of a source are observed by two encoders, as in the CEO problem. In addition, we require that each encoder generate MDs of the source, as in the MD problem. The vacationing-CEO problem arises in asynchronous multicast networks, and solving it is an essential step in developing a general theory for multiencoder and multidecoder lossy compression. In this paper, an achievable sum rate and two sum rate lower bounds are presented for the quadratic Gaussian vacationing-CEO problem. These bounds exactly determine the optimal sum rate over a wide range of parameters. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIT.2012.2204722 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
source code,image sensors,distortion,distributed processing,random variables,tin,silicon,image processing,source coding,encoders,decoding,acoustic noise | Journal | 58 |
Issue | ISSN | Citations |
10 | 0018-9448 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajiv Soundararajan | 1 | 782 | 33.20 |
| Aaron B. Wagner | 2 | 322 | 37.39 |
| Sriram Vishwanath | 3 | 4185 | 445.45 |