DocumentCode
1989770
Title
Preconditioned iterative methods for block Toeplitz systems
Author
Ku, Ta-Kang ; Kuo, C.-C Jay
Author_Institution
Univ. of Southern California, Los Angeles, CA, USA
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2341
Abstract
An examination is made of the spectral clustering property of the preconditioned matrix R -1 T , with T generated by two-dimensional rational functions T ( z x, z y) of order (p x, q x, p y, q y). A direct consequence of the analysis is that the computational complexity for solving an M N × M N rational block Toeplitz system by the preconditioned conjugate gradient (PCG) method is bounded above by O ((M 2N +M N 2) log M N ), which is much smaller than that required by direct methods, O (M 3 N 2). Furthermore, for solving well-conditioned M N ×M N block Toeplitz systems, the PCG method requires only O (M N log M N ) operations
Keywords
iterative methods; matrix algebra; 2D signal processing; block Toeplitz systems; computational complexity; convergence; preconditioned conjugate gradient; preconditioned iterative methods; preconditioned matrix; spectral clustering; two-dimensional rational functions; Computational complexity; Differential equations; Digital signal processing; Eigenvalues and eigenfunctions; Image processing; Iterative methods; Partial differential equations; Signal processing; Symmetric matrices; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150781
Filename
150781
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