Corr, J and Thompson, K and Weiss, S and Proudler, I K and McWhirter, J G (2015) Impact of source model matrix conditioning on iterative PEVD algorithms. In: 2nd IET International Conference on Intelligent Signal Processing, 2015-12-01 - 2015-12-02, Kensington Close Hotel.
Corr_etal_ICISP_2015_Impact_of_source_model_matrix_conditioning_on_iterative_PEVD_algorithms.pdf - Accepted Author Manuscript
Download (342kB) | Preview
Polynomial parahermitian matrices can accurately and elegantly capture the space-time covariance in broadband array problems. To factorise such matrices, a number of polynomial EVD (PEVD) algorithms have been suggested. At every step, these algorithms move various amounts of off-diagonal energy onto the diagonal, to eventually reach an approximate diagonalisation. In practical experiments, we have found that the relative performance of these algorithms depends quite significantly on the type of parahermitian matrix that is to be factorised. This paper aims to explore this performance space, and to provide some insight into the characteristics of PEVD algorithms.
|Item type:||Conference or Workshop Item (Paper)|
|Notes:||This paper is a postprint of a paper submitted to and accepted for publication in 2nd IET International Conference on Intelligent Signal Processing and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library|
|Keywords:||polynomial eigenvalue decomposition, broadband array processing, space-time covariance matrix, polynomial matrix, matrix factorisation, eigenvalues and eigenfunctions, PEVD algorithms, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
|Depositing user:||Pure Administrator|
|Date Deposited:||08 Mar 2017 15:20|
|Last modified:||22 Mar 2017 16:18|