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Compact order polynomial singular value decomposition of a matrix of analytic functions
MA Bakhit, FA Khattak, IK Proudler… - 2023 IEEE 9th …, 2023 - ieeexplore.ieee.org
This paper presents a novel method for calculating a compact order singular value
decomposition (SVD) of polynomial matrices, building upon the recently proven existence of …
decomposition (SVD) of polynomial matrices, building upon the recently proven existence of …
Impact of estimation errors of a matrix of transfer functions onto its analytic singular values and their potential algorithmic extraction
A matrix of analytic functions A (z), such as the matrix of transfer functions in a multiple-input
multiple-output (MIMO) system, generally admits an analytic singular value decomposition …
multiple-output (MIMO) system, generally admits an analytic singular value decomposition …
Extraction of analytic singular values of a polynomial matrix
FA Khattak, M Bakhit, IK Proudler… - 2024 32nd European …, 2024 - ieeexplore.ieee.org
The proof of existence of an analytic singular value decomposition (SVD) has been formally
established. This mo-tivates the need to devise an algorithm which retrieves analytic …
established. This mo-tivates the need to devise an algorithm which retrieves analytic …
[HTML][HTML] Paraunitary approximation of matrices of analytic functions-the polynomial Procrustes problem
The best least squares approximation of a matrix, typically eg characterising gain factors in
narrowband problems, by a unitary one is addressed by the Procrustes problem. Here, we …
narrowband problems, by a unitary one is addressed by the Procrustes problem. Here, we …
Applications of polynomial eigenvalue decomposition to multichannel broadband signal processing: part 2: eigenvalue decomposition
S Weiss - 31st European Signal Processing Conference, 2023 - pureportal.strath.ac.uk
Multichannel broadband signals arise at the core of many essential military technologies
such as radar, sonar and communications, and commercial applications like …
such as radar, sonar and communications, and commercial applications like …
Polynomial Matrix SVD via Generalized Sequential Matrix Diagonalisation
The singular value decomposition (SVD) of polynomial matrices plays a pivotal role in the
analysis and optimisation of broadband multi-input multi-output (MIMO) systems. In this …
analysis and optimisation of broadband multi-input multi-output (MIMO) systems. In this …
Formulating and solving broadband multichannel problems using matrices of functions
S Weiss - 2023 - strathprints.strath.ac.uk
The analysis and design of broadband multichannel systems typically involves convolutive
mixing, characterised by matrices of transfer functions. Further, many broadband …
mixing, characterised by matrices of transfer functions. Further, many broadband …
[PDF][PDF] Polynomial matrix algebra with applications
Polynomial matrix algebra with applications Page 1 Polynomial Matrix Algebra with Applications
Stephan Weiss, Ian K. Proudler, and Fraser K. Coutts UDRC Phase 3 Consortium on …
Stephan Weiss, Ian K. Proudler, and Fraser K. Coutts UDRC Phase 3 Consortium on …