Abstract
Recently, studies of linear network coding have attracted attention. This paper considers a probabilistic error model for the deterministic linear network coding. In the previous studies of error-correcting codes, Kaneko et al. proposed a decoding algorithms for probabilistic error model. This is a maximum likelihood decoding algorithm that uses the optimization method called branch and bound method. This paper constructs a new model of deterministic linear network coding and proposes a maximum likelihood decoding algorithm that uses the branch and bound method.
Original language | English |
---|---|
Title of host publication | Proceedings of 2016 International Symposium on Information Theory and Its Applications, ISITA 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 666-670 |
Number of pages | 5 |
ISBN (Electronic) | 9784885523090 |
Publication status | Published - 2017 Feb 2 |
Event | 3rd International Symposium on Information Theory and Its Applications, ISITA 2016 - Monterey, United States Duration: 2016 Oct 30 → 2016 Nov 2 |
Other
Other | 3rd International Symposium on Information Theory and Its Applications, ISITA 2016 |
---|---|
Country/Territory | United States |
City | Monterey |
Period | 16/10/30 → 16/11/2 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Information Systems
- Signal Processing
- Library and Information Sciences