• DocumentCode
    3451885
  • Title

    Vector space solution to the multidimensional Yule-Walker equations

  • Author

    Kay, Steven M. ; Carbone, Christopher F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rhode Island Univ., Kingston, RI, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    The paper describes a vector space approach to solving the multidimensional (mD) Yule-Walker equations for an arbitrary region of support. This approach leads to a solution that is simple to implement. Two-dimensional (2D) autoregressive (AR) modelling has found applications in image processing, sonar, and other areas. 3D and higher dimensional AR modelling has as yet to be extensively studied but applications to signals that vary in time, frequency, and space can easily be envisioned.
  • Keywords
    autoregressive processes; multidimensional signal processing; vectors; 2D autoregressive modelling; image processing; multidimensional Yule-Walker equations; multidimensional signal processing; sonar signal processing; vector space solution; Equations; Frequency; Image coding; Image processing; Mathematical model; Multidimensional systems; Signal processing; Sonar applications; Two dimensional displays; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1199269
  • Filename
    1199269