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 :
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