On Properties and Structure of the Analytic Singular Value Decomposition
On Properties and Structure of the Analytic Singular Value Decomposition
复制标题
解析奇异值分解的性质和结构
DOI:
10.1109/tsp.2024.3387726
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发表时间:
2024
影响因子:
5.4
通讯作者:
J. McWhirter
中科院分区:
文献类型:
--
作者:
Stephan Weiss;I. Proudler;Giovanni Barbarino;Jennifer Pestana;J. McWhirter
We investigate the singular value decomposition (SVD) of a rectangular matrix $\boldsymbol{\mathit{A}}(z)$ of functions that are analytic on an annulus that includes at least the unit circle. Such matrices occur, e.g., as matrices of transfer functions representing broadband multiple-input multiple-output systems. Our analysis is based on findings for the analytic SVD applicable to continuous time systems, and on the analytic eigenvalue decomposition. Using these, we establish two potentially overlapping cases where analyticity of the SVD factors is denied. Firstly, from a structural point of view, multiplexed systems require oversampling by the multiplexing factor in order to admit an analytic solution. Secondly, from an algebraic perspective, we state under which condition spectral zeros of any singular value require additional oversampling by a factor of two if an analytic solution is to be found. In all other cases, an analytic matrix admits an analytic SVD, whereby the singular values are unique up to a permutation, and the left- and right-singular vectors are coupled through a joint ambiguity w.r.t. an arbitrary allpass function. We demonstrate how some state-of-the-art polynomial matrix decomposition algorithms approximate this solution, motivating the need for dedicated algorithms.
影响因子:
5.4
作者:
Joanne A. Foster;J. McWhirter;M. Davies;J. Chambers
通讯作者:
Joanne A. Foster;J. McWhirter;M. Davies;J. Chambers