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
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 ( zx, zy) of order (px, qx, py, qy). 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 ((M2N+M N2) log M N), which is much smaller than that required by direct methods, O(M3 N2). 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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150781