TY - GEN
T1 - The r-wise Hamming Distance and its Operational Interpretation for Block Codes
AU - Lin, Hsuan Yin
AU - Moser, Stefan M.
AU - Chen, Po-Ning
PY - 2018/5/21
Y1 - 2018/5/21
N2 - We present an extension of the pairwise Hamming distance, the r-wise Hamming distance, and show that it can be used to fully characterize the maximum-likelihood decoding (MLD) error of an arbitrary code used over the binary erasure channel (BEC). Based on these insights, we present a new design criterion for a code: The minimum r-wise Hamming distance. We prove that, for every r ≥ 2, the class of fair weak flip codes achieves the largest minimum r-wise Hamming distance among all codes of equal size M and blocklength n. Thus, it is conjectured that the fair weak flip code is optimal in the sense of achieving the smallest MLD error over the BEC. We confirm this conjecture for M ≤ 4 and all n ≥ 1. For a code size M = 8, we find that the best (in the sense of smallest MLD error) linear code cannot achieve the largest minimum 4-wise Hamming distance and is thus strictly outperformed by the fair weak flip code over the BEC.
AB - We present an extension of the pairwise Hamming distance, the r-wise Hamming distance, and show that it can be used to fully characterize the maximum-likelihood decoding (MLD) error of an arbitrary code used over the binary erasure channel (BEC). Based on these insights, we present a new design criterion for a code: The minimum r-wise Hamming distance. We prove that, for every r ≥ 2, the class of fair weak flip codes achieves the largest minimum r-wise Hamming distance among all codes of equal size M and blocklength n. Thus, it is conjectured that the fair weak flip code is optimal in the sense of achieving the smallest MLD error over the BEC. We confirm this conjecture for M ≤ 4 and all n ≥ 1. For a code size M = 8, we find that the best (in the sense of smallest MLD error) linear code cannot achieve the largest minimum 4-wise Hamming distance and is thus strictly outperformed by the fair weak flip code over the BEC.
KW - Binary erasure channel
KW - maximum likelihood decoding
KW - r-wise Hamming distance
KW - weak flip codes
UR - http://www.scopus.com/inward/record.url?scp=85048585840&partnerID=8YFLogxK
U2 - 10.1109/CISS.2018.8362300
DO - 10.1109/CISS.2018.8362300
M3 - Conference contribution
AN - SCOPUS:85048585840
T3 - 2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018
SP - 1
EP - 6
BT - 2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 52nd Annual Conference on Information Sciences and Systems, CISS 2018
Y2 - 21 March 2018 through 23 March 2018
ER -