DocumentCode :
1474577
Title :
On lowest density MDS codes
Author :
Blaum, Mario ; Roth, Ron M.
Author_Institution :
IBM Res. Div., Almaden Res. Center, San Jose, CA, USA
Volume :
45
Issue :
1
fYear :
1999
fDate :
1/1/1999 12:00:00 AM
Firstpage :
46
Lastpage :
59
Abstract :
Let Fq denote the finite field GF(q) and let h be a positive integer. MDS (maximum distance separable) codes over the symbol alphabet Fqb are considered that are linear over F q and have sparse (“low-density”) parity-check and generator matrices over Fq that are systematic over Fqb. Lower bounds are presented on the number of nonzero elements in any systematic parity-check or generator matrix of an Fq-linear MDS code over Fqb, along with upper bounds on the length of any MDS code that attains those lower bounds. A construction is presented that achieves those bounds for certain redundancy values. The building block of the construction is a set of sparse nonsingular matrices over Fq whose pairwise differences are also nonsingular. Bounds and constructions are presented also for the case where the systematic condition on the parity-check and generator matrices is relaxed to be over Fq, rather than over Fqb
Keywords :
Galois fields; linear codes; redundancy; sparse matrices; finite field; generator matrices; length; linear MDS code; lower bounds; lowest density MDS codes; maximum distance separable codes; nonzero elements; pairwise differences; parity-check matrix; redundancy; sparse nonsingular matrices; symbol alphabet; upper bounds; Conferences; Galois fields; Hamming distance; Information theory; Length measurement; Linear code; Parity check codes; Sparse matrices; Upper bound; Vectors;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.746771
Filename :
746771
Link To Document :
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