• DocumentCode
    1016458
  • Title

    Design of multidimensional FIR digital filters using the symmetrical decomposition technique

  • Author

    Rajaravivarma, Veeramuthu ; Rajan, P. Karivaratha ; Reddy, Haranatha C.

  • Author_Institution
    Dept. of Ind. Educ. and Technol., Morehead State Univ., KY, USA
  • Volume
    42
  • Issue
    1
  • fYear
    1994
  • fDate
    1/1/1994 12:00:00 AM
  • Firstpage
    164
  • Lastpage
    174
  • Abstract
    A technique for the design of multidimensional FIR filters based on symmetrical decomposition is described. Along with this technique, a procedure to decompose a frequency response into symmetrical components is also discussed. It is proved that the design based on the symmetrical decomposition technique when the cost function is chosen as the weighted square error yields the same optimal solution as the classical method that does not use the decomposition technique. The l2 norm design is discussed as a special case of weighted l2 norm design. It is also shown that the decomposition technique is advantageous when the weight function satisfies some symmetry properties. Examples are also provided to illustrate the application and the effectiveness of applying the decomposition in the design of 2-D and 3-D FIR filters
  • Keywords
    frequency response; multidimensional digital filters; transfer functions; 2-D FIR filters; 3-D FIR filters; cost function; filter design; frequency response; l2 norm design; multidimensional FIR digital filters; optimal solution; symmetrical components; symmetrical decomposition; symmetry properties; weight function; weighted l2 norm design; weighted square error; Cost function; Digital filters; Educational technology; Finite impulse response filter; Frequency response; Image restoration; Manufacturing industries; Multidimensional systems; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.258131
  • Filename
    258131