Title :
Approximate eigenvalue decomposition of para-Hermitian systems through successive FIR paraunitary transformations
Author_Institution :
Signal Processing Research Group, Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, 91109, USA
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;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX, USA
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495751