C-Product Toolbox: A Computational Package for Third-Order Tensor Operations Based on the Reduced c-Product

IF 1.2 Q3 MATHEMATICS, APPLIED
Pablo Soto-Quiros, Samuel Valverde-Sanchez, Luis Chavarria-Zamora
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引用次数: 0

Abstract

This paper introduces the C-Product Toolbox, a new computational package available for MATLAB and Python, designed to perform operations on third-order tensors using a tensor product known as the reduced c-product. The reduced c-product is a variant of the known c-product, a tensor product based on the discrete cosine transform and belonging to a family of tensor products defined by invertible linear transformations. This work presents the theoretical development of the reduced c-product used and provides a detailed explanation of each tensor operation implemented in the computational package. Additionally, numerical experiments compare the C-Product Toolbox with an existing MATLAB toolbox that employs the t-product, a tensor product based on the discrete Fourier transform. The numerical experiments in this paper demonstrate that the C-Product Toolbox offers superior computational efficiency, achieving faster execution times and lower memory consumption. Furthermore, the practical advantages of the proposed methods are highlighted through an application in video denoising, showcasing the effectiveness of the toolbox in real-world scenarios.

Abstract Image

c积工具箱:基于约简c积的三阶张量运算的计算包
本文介绍了C-Product工具箱,这是一个新的计算包,可用于MATLAB和Python,旨在使用称为约简c积的张量积对三阶张量进行运算。约化c积是已知c积的一个变体,一个基于离散余弦变换的张量积,属于由可逆线性变换定义的张量积族。这项工作提出了所使用的简化c积的理论发展,并提供了在计算包中实现的每个张量操作的详细解释。此外,数值实验将C-Product工具箱与现有的MATLAB工具箱进行了比较,该工具箱使用了基于离散傅里叶变换的张量积t-product。本文的数值实验表明,C-Product Toolbox提供了优越的计算效率,实现了更快的执行时间和更低的内存消耗。此外,通过在视频去噪中的应用,突出了所提出方法的实际优势,展示了工具箱在现实场景中的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.20
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