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Construction of Partial-Unit-Memory MDS Convolutional Codes
- Source :
- IEEE Transactions on Information Theory. 62:5375-5384
- Publication Year :
- 2016
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2016.
-
Abstract
- Maximum-distance separable (MDS) convolutional codes form an optimal family of convolutional codes, the study of which is of great importance. There are very few general algebraic constructions of MDS convolutional codes. In this paper, we construct a large family of partial-unit-memory MDS convolutional codes over $ \mathbb {F}_{q}$ with flexible parameters. Compared with the previous work, the field size $q$ required to define these codes is much smaller. The construction also leads to many new strongly MDS convolutional codes, an important subclass of MDS convolutional codes. Some examples are presented at the end of this paper.
- Subjects :
- Block code
Discrete mathematics
020206 networking & telecommunications
02 engineering and technology
Serial concatenated convolutional codes
Sequential decoding
Library and Information Sciences
01 natural sciences
Linear code
Expander code
Computer Science Applications
Combinatorics
Reed–Solomon error correction
Convolutional code
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Turbo code
010306 general physics
Computer Science::Information Theory
Information Systems
Mathematics
Subjects
Details
- ISSN :
- 15579654 and 00189448
- Volume :
- 62
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Information Theory
- Accession number :
- edsair.doi...........3caa2015bb449ef43e32d7a364d2aad7