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本文引用的文献

1
Symmetric convolution of asymmetric multidimensional sequences using discrete trigonometric transforms.使用离散三角函数变换对非对称多维序列进行对称卷积。
IEEE Trans Image Process. 1999;8(5):640-51. doi: 10.1109/83.760312.
2
CT-perfusion imaging of the human brain: advanced deconvolution analysis using circulant singular value decomposition.人脑的CT灌注成像:使用循环奇异值分解的先进去卷积分析
Comput Med Imaging Graph. 2008 Jan;32(1):67-77. doi: 10.1016/j.compmedimag.2007.09.004.

具有斜循环系数矩阵的线性系统的最优反向摄动分析。

On optimal backward perturbation analysis for the linear system with skew circulant coefficient matrix.

机构信息

Department of Mathematics, Linyi University, Linyi, Shandong 276000, China ; Department of Mathematics, Shandong Normal University, Ji'nan, Shandong 250014, China.

Department of Mathematics, Linyi University, Linyi, Shandong 276000, China.

出版信息

Comput Math Methods Med. 2013;2013:707381. doi: 10.1155/2013/707381. Epub 2013 Nov 28.

DOI:10.1155/2013/707381
PMID:24369488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3863576/
Abstract

We first give the style spectral decomposition of a special skew circulant matrix C and then get the style decomposition of arbitrary skew circulant matrix by making use of the Kronecker products between the elements of first row in skew circulant and the special skew circulant C. Besides that, we obtain the singular value of skew circulant matrix as well. Finally, we deal with the optimal backward perturbation analysis for the linear system with skew circulant coefficient matrix on the base of its style spectral decomposition.

摘要

我们首先给出了一类特殊斜循环矩阵 C 的谱分解形式,然后利用斜循环矩阵第一行元素与特殊斜循环矩阵 C 的 Kronecker 积,得到了任意斜循环矩阵的谱分解形式。此外,还得到了斜循环矩阵的奇异值。最后,基于斜循环系数矩阵的谱分解形式,对具有斜循环系数矩阵的线性系统进行了最优的后验扰动分析。