Abstract
Two efficient, maximum likelihood, soft decision decoding algorithms for binary (linear) codes are derived, and compared to known algorithms. The new algorithms do not use a binary tree for considering the possible error patterns corresponding to the received word and for determining the most likely one, but they use a graph that is designed to make a more efficient use of branching and bounding techniques.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 1991 IEEE International Symposium on Information Theory, ISIT 1991 |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 194 |
| Number of pages | 1 |
| ISBN (Print) | 0-7803-0056-4 |
| DOIs | |
| Publication status | Published - 1 Jan 1991 |
| Event | 1991 IEEE International Symposium on Information Theory, ISIT 1991 - Budapest, Hungary Duration: 24 Jun 1991 → 28 Jun 1991 |
Conference
| Conference | 1991 IEEE International Symposium on Information Theory, ISIT 1991 |
|---|---|
| Country/Territory | Hungary |
| City | Budapest |
| Period | 24/06/91 → 28/06/91 |
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