DocumentCode
2212867
Title
A novel technique for broadband subspace decomposition
Author
McWhirter, J.G. ; Baxter, P.D. ; Cooper, T. ; Redif, S.
Author_Institution
Malvern Technol. Centre, QinetiQ Ltd., Malvern, UK
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
1
Lastpage
5
Abstract
A generalisation of the eigenvalue decomposition (EVD) is proposed for para-Hermitian polynomial matrices. A novel technique for computing this polynomial matrix EVD is outlined. It involves applying a sequence of elementary paraunitary matrices and is referred to as the second order sequential best rotation (SBR2) algorithm. An application of the SBR2 algorithm to broadband subspace identification is briefly illustrated.
Keywords
Hermitian matrices; adaptive signal processing; eigenvalues and eigenfunctions; polynomial matrices; broadband subspace decomposition; eigenvalue decomposition; elementary paraunitary matrices; para-Hermitian polynomial matrices; polynomial matrix EVD; second order sequential best rotation algorithm; Abstracts; Eigenvalues and eigenfunctions; Filter banks; Matrix decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2006 14th European
Conference_Location
Florence
ISSN
2219-5491
Type
conf
Filename
7071106
Link To Document