DocumentCode
1478220
Title
The Treewidth of MDS and Reed–Muller Codes
Author
Kashyap, Navin ; Thangaraj, Andrew
Author_Institution
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
Volume
58
Issue
7
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
4837
Lastpage
4847
Abstract
The constraint complexity of a graphical realization of a linear code is the maximum dimension of the local constraint codes in the realization. The treewidth of a linear code is the least constraint complexity of any of its cycle-free graphical realizations. This notion provides a useful parameterization of the maximum-likelihood decoding complexity for linear codes. In this paper, we show the surprising fact that for maximum distance separable codes and Reed-Muller codes, treewidth equals trelliswidth, which, for a code, is defined to be the least constraint complexity (or branch complexity) of any of its trellis realizations. From this, we obtain exact expressions for the treewidth of these codes, which constitute the only known explicit expressions for the treewidth of algebraic codes.
Keywords
Reed-Muller codes; algebraic codes; linear codes; maximum likelihood decoding; trellis codes; MDS treewidth; Reed-Muller codes; algebraic codes; constraint complexity; cycle-free graphical realizations; graphical realization; least constraint complexity; linear code; maximum distance separable codes; maximum-likelihood decoding complexity; treewidth equals trelliswidth; trellis realizations; Complexity theory; Decoding; Indexes; Linear code; Minimization; Particle separators; Polynomials; Maximum distance separable (MDS) codes; Reed–Muller codes; treewidth; trelliswidth;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2012.2191935
Filename
6174471
Link To Document