Hamming distances of unsaturated orthogonal arrays

Orthogonal arrays (OAs) are applied in the statistical design of experiments, coding theory, cryptography, various types of software testing and quality control and have many connections to other combinatorial designs. The Hamming distances of OAs play a critical role in many areas such as algebraic combinatorics, quantum information theory, and wireless sensor networks. However, the calculation method of Hamming distances is difficult, especially for mixed orthogonal arrays (MOAs), since they rely on constructions or structures of OAs in many cases. In this article, by using the number of coincidences, we find some OAs with high strength and MOAs with strength 2 and 3, whose Hamming distances do not depend on their structures. We also calculate Hamming distances of a series of unsaturated asymmetrical OAs via their construction methods such as deleting columns, the expansive replacement method, and difference schemes.

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Publication Details

Journal
Communication in Statistics- Theory and Methods
Published
2024-11-07
DOI
https://doi.org/10.1080/03610926.2024.2405736
Citations
1
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
0.49

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article

Hamming distances of unsaturated orthogonal arrays

Mengqian Chen, Shanqi Pang, Rong Yan
1 citations
Communication in Statistics- Theory and Methods
Optimal Experimental Design Methods
0.49
article

Hamming distances of unsaturated orthogonal arrays

Mengqian Chen, Shanqi Pang, Rong Yan
article en
1 citations

Abstract

Orthogonal arrays (OAs) are applied in the statistical design of experiments, coding theory, cryptography, various types of software testing and quality control and have many connections to other combinatorial designs. The Hamming distances of OAs play a critical role in many areas such as algebraic combinatorics, quantum information theory, and wireless sensor networks. However, the calculation method of Hamming distances is difficult, especially for mixed orthogonal arrays (MOAs), since they rely on constructions or structures of OAs in many cases. In this article, by using the number of coincidences, we find some OAs with high strength and MOAs with strength 2 and 3, whose Hamming distances do not depend on their structures. We also calculate Hamming distances of a series of unsaturated asymmetrical OAs via their construction methods such as deleting columns, the expansive replacement method, and difference schemes.

Communication in Statistics- Theory and MethodsVol. 54(13)
Henan Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 29%
Optimal Experimental Design Methods
0.49
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