Wang, Zeliang, McWhirter, John  ORCID: https://orcid.org/0000-0003-1810-3318, Corr, Jamie and Weiss, Stephan
2015.
Multiple shift second order sequential best rotation algorithm for polynomial matrix EVD.
Presented at: 23rd European Signal Processing Conference,
Nice, France,
31 August - 4 September 2015.
23rd European Signal Processing Conference.
IEEE,
pp. 849-853.
10.1109/EUSIPCO.2015.7362502
|
Preview |
PDF
Download (157kB) | Preview |
Abstract
In this paper, we present an improved version of the second order sequential best rotation algorithm (SBR2) for polynomial matrix eigenvalue decomposition of para-Hermitian matrices. The improved algorithmis entitledmultiple shift SBR2 (MS-SBR2) which is developed based on the original SBR2 algorithm. It can achieve faster convergence than the original SBR2 algorithm by means of transferring more off-diagonal energy onto the diagonal at each iteration. Its convergence is proved and also demonstrated by means of a numerical example. Furthermore, simulation results are included to compare its convergence characteristics and computational complexity with the original SBR2, sequential matrix diagonalization (SMD) and multiple shift maximum element SMD algorithms.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Engineering |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Publisher: | IEEE |
| ISBN: | 9780992862640 |
| ISSN: | 2076-1465 |
| Related URLs: | |
| Last Modified: | 31 Oct 2022 11:05 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/87420 |
Citation Data
Cited 24 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
 |
Edit Item |
Dimensions
Dimensions