Abstract
In this paper unequal error-correcting capabilities of convolutional codes are studied. State-transition graphs are used for investigating the error-correcting capabilities for specific inputs or outputs of given convolutional encoding matrices. Active burst input- and output-distances are defined and shown to be generalizations of the active burst distance. These new distances provide better estimates of the error-correction capability, especially when we communicate close to or above the channel capacity and they are connected to the corresponding free input- and output-distances via lower bounds
| Original language | English |
|---|---|
| Title of host publication | 2005 IEEE International Symposium on Information Theory (ISIT) |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2236-2240 |
| ISBN (Print) | 0-7803-9150-0 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | IEEE International Symposium on Information Theory (ISIT), 2005 - Adelaide, Australia Duration: 2005 Sept 4 → 2005 Sept 9 |
Conference
| Conference | IEEE International Symposium on Information Theory (ISIT), 2005 |
|---|---|
| Abbreviated title | ISIT05 |
| Country/Territory | Australia |
| City | Adelaide |
| Period | 2005/09/04 → 2005/09/09 |
Subject classification (UKÄ)
- Electrical Engineering, Electronic Engineering, Information Engineering
Free keywords
- active burst input-distance
- convolutional encoding matrices
- convolutional codes
- unequal error-correcting capability
- unequal error protection
- state-transition graphs
- channel capacity
- active burst output-distance
- lower bounds