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arXiv 2010.03075math.FAeess.SP
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矩阵值信号与矩阵值格上的矩阵值内积

A Matrix-Valued Inner Product for Matrix-Valued Signals and Matrix-Valued Lattices

Xiang-Gen Xia

AI总结:

本文从内积视角重新研究矩阵值内积,提出等价范数,证明其保留标量内积性质,引入线性无关概念及Gram-Schmidt正交化,并定义矩阵值格。

摘要:

此前有人提出一种矩阵值内积,用于为矩阵值信号构造正交矩阵值小波。与正交多小波构造中常用的矩阵所有分量的正交性相比,该内积为矩阵值信号引入了更弱的正交性。借助这种更弱的正交性,构造正交矩阵值小波更加容易。本文从更基本的内积视角重新研究该矩阵值内积,并为矩阵值信号提出一个新的但等价的范数。我们证明,尽管该内积不是标量值的,但它保留了标量值内积的大部分性质。我们为矩阵值信号引入一个新的线性无关概念,并给出相关性质。随后,我们给出对一组线性无关的矩阵值信号进行Gram-Schmidt正交化处理的步骤。最后,我们定义了矩阵值格。

英文摘要:

A matrix-valued inner product was proposed before to construct orthonormal matrix-valued wavelets for matrix-valued signals. It introduces a weaker orthogonality for matrix-valued signals than the orthogonality of all components in a matrix that is commonly used in orthogonal multiwavelet constructions. With the weaker orthogonality, it is easier to construct orthonormal matrix-valued wavelets. In this paper, we re-study the matrix-valued inner product more from the inner product viewpoint that is more fundamental and propose a new but equivalent norm for matrix-valued signals. We show that although it is not scalar-valued, it maintains most of the scalar-valued inner product properties. We introduce a new linear independence concept for matrix-valued signals and present some related properties. We then present the Gram-Schmidt orthonormalization procedure for a set of linearly independent matrix-valued signals. Finally we define matrix-valued lattices.

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