• DocumentCode
    768408
  • Title

    Design of high-order digital differentiators using L1 error criteria

  • Author

    Chen, Charng-Kann ; Lee, Ju-Hong

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    42
  • Issue
    4
  • fYear
    1995
  • fDate
    4/1/1995 12:00:00 AM
  • Firstpage
    287
  • Lastpage
    291
  • Abstract
    This paper considers the optimal design of high order digital differentiators in the L1 sense. Conventionally, using L1 error criterion for this design problem results in a nonlinear optimization problem since the corresponding objective function contains an absolute error function. We first reformulate the design problem as a linear programming problem in the frequency domain. To avoid the requirement of huge computation load and storage space when using linear programming based algorithms, we present a method based on a modification of Karmarkar´s algorithm to solve the design problem so that an analytical weighted least-squares (WLS) solution formula can be obtained. This leads to a very efficient procedure for the considered design problem. Computer simulations show that the designed differentiators can achieve more accurate wideband differentiation than those designed by using L2 and Chebyshev (minimax) error criteria
  • Keywords
    differentiating circuits; digital arithmetic; digital filters; errors; least squares approximations; linear programming; L1 error criteria; high-order digital differentiators; linear programming problem; nonlinear optimization problem; optimal design; weighted least-squares solution formula; wideband differentiation; Algorithm design and analysis; Approximation error; Chebyshev approximation; Finite impulse response filter; Frequency; Linear programming; Minimax techniques; Minimization methods; Signal processing algorithms; Wideband;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7130
  • Type

    jour

  • DOI
    10.1109/82.378044
  • Filename
    378044