DocumentCode
2802416
Title
Approximate eigenvalue decomposition of para-Hermitian systems through successive FIR paraunitary transformations
Author
Tkacenko, Andre
Author_Institution
Signal Processing Research Group, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, 91109, USA
fYear
2010
fDate
14-19 March 2010
Firstpage
4074
Lastpage
4077
Abstract
The eigenvalue decomposition (EVD) of a Hermitian matrix in terms of unitary matrices is well known. In this paper, we present an algorithm for the approximate EVD (AEVD) of a para-Hermitian (PH) system. Here, the approximate diagonalization is carried out successively by applying degree-1 finite impulse response (FIR) paraunitary (PU) transformations. The system parameters are chosen to make the zeroth order diagonal energy (ZODE) nondecreasing at each stage. Simulation results presented for the design of a signal-adapted PU filter bank (FB) show close agreement with the behavior of the infinite order principal component FB (PCFB).
Keywords
Eigenvalues and eigenfunctions; Filter bank; Finite impulse response filter; Laboratories; MIMO; Matrix decomposition; Propulsion; Signal design; Signal processing algorithms; Transfer functions; approximation methods; matrix decomposition; polynomial approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX, USA
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495751
Filename
5495751
Link To Document