• DocumentCode
    768397
  • Title

    Weighted least-squares design technique for two-dimensional finite impulse response digital filters

  • Author

    Smith, L. Montgomery

  • Author_Institution
    Dept. of Electr. and Comput. Eng., Tennessee Univ. Space Inst., Tullahoma, TN, USA
  • Volume
    42
  • Issue
    4
  • fYear
    1995
  • fDate
    4/1/1995 12:00:00 AM
  • Firstpage
    282
  • Lastpage
    287
  • Abstract
    A method for designing multidimensional finite impulse response digital filters with minimum weighted mean square error is presented. This technique allows for the design of filters with arbitrary desired frequency characteristics and frequency band weighting. The design equations consist of a system of linear equations with closed-form expressions for the matrix and vector elements. The design of one-dimensional multiband filters, two-dimensional circularly symmetric multiband filters and two-dimensional single-frequency-selective bandpass filters is described in detail to provide illustrative examples of the use of this method. Computer implementation of the design algorithm for these filter types is described and sample numerical results are presented
  • Keywords
    FIR filters; band-pass filters; circuit CAD; filtering theory; least squares approximations; two-dimensional digital filters; 2D FIR digital filters; circularly symmetric multiband filters; computer implementation; design algorithm; finite impulse response filters; frequency band weighting; minimum weighted mean square error; single-frequency-selective bandpass filters; two-dimensional digital filters; weighted least-squares design technique; Band pass filters; Closed-form solution; Design methodology; Digital filters; Equations; Finite impulse response filter; Frequency; Mean square error methods; Multidimensional systems; Symmetric matrices;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7130
  • Type

    jour

  • DOI
    10.1109/82.378043
  • Filename
    378043