• 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 ( 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;
  • 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