Redif, Soydan, Weiss, Stephan and McWhirter, John ORCID: https://orcid.org/0000-0003-1810-3318 2015. Sequential matrix diagonalisation algorithms for polynomial EVD of parahermitian matrices. IEEE Transactions on Signal Processing 63 (1) , pp. 81-89. 10.1109/tsp.2014.2367460 |
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Abstract
For parahermitian polynomial matrices, which can be used, for example, to characterise space-time covariance in broadband array processing, the conventional eigenvalue decomposition (EVD) can be generalised to a polynomial matrix EVD (PEVD). In this paper, a new iterative PEVD algorithm based on sequential matrix diagonalisation (SMD) is introduced. At every step the SMD algorithm shifts the dominant column or row of the polynomial matrix to the zero lag position and eliminates the resulting instantaneous correlation. A proof of convergence is provided, and it is demonstrated that SMD establishes diagonalisation faster and with lower order operations than existing PEVD algorithms.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Publisher: | Institute of Electrical and Electronics Engineers |
ISSN: | 1053-587X |
Date of First Compliant Deposit: | 30 March 2016 |
Date of Acceptance: | 2014 |
Last Modified: | 18 Nov 2024 23:15 |
URI: | https://orca.cardiff.ac.uk/id/eprint/68978 |
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