• DocumentCode
    1990188
  • Title

    Bandpass digital differentiator design using quadratic programming

  • Author

    Medlin, W. Gregory ; Kaiser, James F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of South Carolina, Columbia, SC, USA
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    1977
  • Abstract
    A novel technique utilizing quadratic programming for the design of bandpass FIR (finite impulse response) digital differentiators of arbitrary order is presented. The new differentiators have linear phase and are maximally accurate at the center of the differentiation band. Their design is based on a minimization procedure for the integrated square error of the frequency response over designated approximation bands. The closed-form solution for the filter coefficients is obtained by the method of Lagrange multipliers. The inclusion of stopband in the design process is also discussed. This technique has been successfully used by the authors for the design of optimal low pass differentiators. The new differentiators are important for applications where the first-, second-, or higher-order derivative of a digital signal is required to be accurate at midrange frequencies
  • Keywords
    differentiation; quadratic programming; signal processing; Lagrange multipliers; approximation bands; bandpass FIR; closed-form solution; differentiation band; filter coefficients; finite impulse response; frequency response; integrated square error; linear phase; maximally accurate; midrange frequencies; minimization procedure; quadratic programming; Acoustic signal processing; Cutoff frequency; Finite impulse response filter; Frequency response; Lagrangian functions; Quadratic programming; Radar applications; Radar measurements; Radar signal processing; Underwater acoustics;
  • 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.1991.150783
  • Filename
    150783