singular values

Digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition ( SVD), the image is compressed.

通过对图像进行奇异值分解，将一幅图像转换成只包含几个非零值的奇异值矩阵，实现图像压缩。

On the Inclusion Region of Singular Values of Matrix

关于矩阵奇异值包含区间

Majorization inequalities are used to derive some inequalities about the trace, singular values and diagonal elements of semidefinite matrix, normal matrix and general matrix.

利用控制不等式这一工具证明了关于半正定矩阵、规范矩阵和一般矩阵的迹、奇异值和对角元素之间的一系列不等式。

In this paper, using imaginary axis we give new inclusion region of singular values of matrix, which improves corresponding results of [ 1]-[ 2].

本文主要从虚轴的角度确定矩阵奇异值的包含区间，改进了[1]～[2]之相应结果。