TY - JOUR
T1 - Bounds for Binary Codes of Length Less Than 25
AU - Best, M. R.
AU - Brouwer, A. E.
AU - Macwilliams, F. Jessie
AU - Odlyzko, Andrew M.
AU - Sloane, Neil J.A.
PY - 1978/1
Y1 - 1978/1
N2 - Improved bounds for A(n,d), the maximum number of codewords in a (linear or nonlinear) binary code of word length n and minimum distance d, and for A(n,d,w), the maximum number of binary vectors of length n, distance d, and constant weight w in the range n ≤ 24 and d ≤ 10 are presented. Some of the new values are A (9,4) = 20 (which was previously believed to follow from the results of Wax), A (13,6) = 32 (which proves that the Nadler code is optimal), A (17,8) = 36 or 37, and A (21,8) = 512. The upper bounds on A (n,d) are found with the help of linear programming, making use of the values of A (n,d,w).
AB - Improved bounds for A(n,d), the maximum number of codewords in a (linear or nonlinear) binary code of word length n and minimum distance d, and for A(n,d,w), the maximum number of binary vectors of length n, distance d, and constant weight w in the range n ≤ 24 and d ≤ 10 are presented. Some of the new values are A (9,4) = 20 (which was previously believed to follow from the results of Wax), A (13,6) = 32 (which proves that the Nadler code is optimal), A (17,8) = 36 or 37, and A (21,8) = 512. The upper bounds on A (n,d) are found with the help of linear programming, making use of the values of A (n,d,w).
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U2 - 10.1109/TIT.1978.1055827
DO - 10.1109/TIT.1978.1055827
M3 - Article
AN - SCOPUS:0017926560
SN - 0018-9448
VL - 24
SP - 81
EP - 93
JO - IRE Professional Group on Information Theory
JF - IRE Professional Group on Information Theory
IS - 1
ER -