Name
Title | ||
|---|---|---|
Multiple shift second order sequential best rotation algorithm for polynomial matrix EVD |
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 algorithm is entitled multiple 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. |
Year | Venue | Keywords |
|---|---|---|
2015 | European Signal Processing Conference | Polynomial matrix eigenvalue decomposition,multiple shift SBR2 |
Field | DocType | ISSN |
Diagonal,Convergence (routing),Signal processing,Polynomial matrix,Matrix (mathematics),Matrix decomposition,Algorithm,Eigendecomposition of a matrix,Mathematics,Computational complexity theory | Conference | 2076-1465 |
Citations | PageRank | References |
6 | 0.54 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zeliang Wang | 1 | 10 | 1.30 |
| John G. McWhirter | 2 | 214 | 28.77 |
| Jamie Corr | 3 | 11 | 2.78 |
| Weiss, Stephan | 4 | 209 | 33.25 |