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相关论文: On the classification of weighing matrices and sel…

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Ternary maximal self-orthogonal codes have been classified for lengths up to $24$. In this note, we provide a complete classification of ternary maximal self-orthogonal codes of length $25$.

信息论 · 计算机科学 2026-05-14 Makoto Araya , Masaaki Harada

In this paper we completely classify the circulant weighing matrices of weight 16 and odd order. It turns out that the order must be an odd multiple of either 21 or 31. Up to equivalence, there are two distinct matrices in CW(31,16), one…

组合数学 · 数学 2007-05-23 R. M. Adin , L. Epstein , Y. Strassler

We consider linear codes over a finite field of odd characteristic, derived from determinantal varieties, obtained from symmetric matrices of bounded ranks. A formula for the weight of a code word is derived. Using this formula, we have…

信息论 · 计算机科学 2023-12-25 Peter Beelen , Trygve Johnsen , Prasant Singh

A classification of Hadamard matrices of order $2p+2$ with an automorphism of order $p$ is given for $p=29$ and $31$. The ternary self-dual codes spanned by the newly found Hadamard matrices of order $60$ with an automorphism of order $29$…

组合数学 · 数学 2023-07-19 Makoto Araya , Masaaki Harada , Vladimir D. Tonchev

Self-orthogonal codes are a subclass of linear codes that are contained within their dual codes. Since self-orthogonal codes are widely used in quantum codes, lattice theory and linear complementary dual (LCD) codes, they have received…

信息论 · 计算机科学 2024-11-12 Yaozong Zhang , Dabin Zheng , Xiaoqiang Wang

A linear code is said to be self-orthogonal if it is contained in its dual. Self-orthogonal codes are of interest because of their important applications, such as for constructing linear complementary dual (LCD) codes and quantum codes. In…

信息论 · 计算机科学 2023-12-08 Dengcheng Xie , Shixin Zhu , Yang Li

Self-orthogonal codes are an important subclass of linear codes which have nice applications in quantum codes and lattices. It is known that a binary linear code is self-orthogonal if its every codeword has weight divisible by four, and a…

信息论 · 计算机科学 2023-11-21 Xiaoru Li , Ziling Heng

The notion of disjoint weighing matrices is introduced as a generalization of orthogonal designs. A recursive construction along with a computer search lead to some infinite classes of disjoint weighing matrices, which in turn are shown to…

组合数学 · 数学 2020-09-07 Hadi Kharaghani , Sho Suda , Behruz Tayfeh-Rezaie

Ternary self-dual codes have been classified for lengths up to 20. At length 24, a classification of only extremal self-dual codes is known. In this paper, we give a complete classification of ternary self-dual codes of length 24 using the…

组合数学 · 数学 2012-05-28 Masaaki Harada , Akihiro Munemasa

We investigate unbiased weighing matrices of weight $9$ and provide a construction method using mutually suitable Latin squares. For $n \le 16$, we determine the maximum size among sets of mutually unbiased weighing matrices of order $n$…

组合数学 · 数学 2025-07-04 Makoto Araya , Masaaki Harada , Hadi Kharaghani , Sho Suda , Wei-Hsuan Yu

Recently, the notions of self-orthogonal subspace codes and LCD subspace codes were introduced, and LCD subspace codes obtained from mutually unbiased weighing matrices were studied. In this paper, we provide a method of constructing…

组合数学 · 数学 2024-07-09 Dean Crnković , Keita Ishizuka , Hadi Kharaghani , Sho Suda , Andrea Švob

In this work, we define three composite matrices derived from group rings. We employ these composite matrices to create generator matrices of the form [In | {\Omega}(v)], where In is the identity matrix and {\Omega}(v) is a composite matrix…

信息论 · 计算机科学 2021-02-02 Adrian Korban , Serap Sahinkaya , Deniz Ustun

The increasing size of neural networks has led to a growing demand for methods of efficient fine-tuning. Recently, an orthogonal fine-tuning paradigm was introduced that uses orthogonal matrices for adapting the weights of a pretrained…

机器学习 · 计算机科学 2024-06-17 Mikhail Gorbunov , Nikolay Yudin , Vera Soboleva , Aibek Alanov , Alexey Naumov , Maxim Rakhuba

Kim et al. (2021) gave a method to embed a given binary $[n,k]$ code $\mathcal{C}$ $(k = 3, 4)$ into a self-orthogonal code of the shortest length which has the same dimension $k$ and minimum distance $d' \ge d(\mathcal{C})$. We extend this…

信息论 · 计算机科学 2022-06-28 Jon-Lark Kim , Whan-Hyuk Choi

This paper presents encoding and decoding algorithms for several families of optimal rank metric codes whose codes are in restricted forms of symmetric, alternating and Hermitian matrices. First, we show the evaluation encoding is the right…

信息论 · 计算机科学 2022-02-08 Wrya K. Kadir , Chunlei Li , Ferdinando Zullo

A family of $\omega$-circulant balanced weighing matrices with classical parameters is used for the construction of optimal constant weight codes over an alphabet of size $g+1$ and length $n=(q^m -1)/(q-1)$, where $q$ is an odd prime power,…

组合数学 · 数学 2023-07-26 Hadi Kharaghani , Thomas Pender , Vladimir D. Tonchev

In this paper, a new classifier based on the intrinsic properties of the data is proposed. Classification is an essential task in data mining-based applications. The classification problem will be challenging when the size of the training…

机器学习 · 计算机科学 2020-10-14 Sahar Tavakoli

Some mutually quasi-unbiased weighing matrices are constructed from binary codes satisfying certain conditions. Motivated by this, in this note, we study binary codes satisfying the conditions. The weight distributions of binary codes…

组合数学 · 数学 2016-08-19 Masaaki Harada , Sho Suda

Self-orthogonal codes have received great attention due to their important applications in quantum codes, LCD codes and lattices. Recently, several families of self-orthogonal codes containing the all-$1$ vector were constructed by…

信息论 · 计算机科学 2025-08-06 Yadi Wei , Jiaxin Wang , Fang-Wei Fu

Shimada and Zhang studied the existence of polarizations on some supersingular $K3$ surfaces by reducing the existence of the polarizations to that of ternary $[12,5]$ codes satisfying certain conditions. In this note, we give a…

组合数学 · 数学 2016-08-19 Makoto Araya , Masaaki Harada
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