Abstract
Entropy amplification property (EAP) is studied using aperiodic noise and side information problems. It is observed that aperiodic (noise) distributions arise as extreme cases in the investigation of the rate loss in side information problems. Rate loss is understood as the difference in the achievable rates that would occur if the side information were known everywhere. Using EAP, it is shown that the rate loss can be arbitrarily large and arbitrarily close to 100%.
| Original language | English |
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| Pages (from-to) | 149 |
| Number of pages | 1 |
| Journal | IEEE International Symposium on Information Theory - Proceedings |
| State | Published - 2004 |
| Event | Proceedings - 2004 IEEE International Symposium on Information Theory - Chicago, IL, United States Duration: 27 Jun 2004 → 2 Jul 2004 |