• DocumentCode
    3243442
  • Title

    Complex approximation with additional constraints

  • Author

    Schulist, M.

  • Author_Institution
    Lehrstuhl fuer Nachrichtentechnik, Erlangen-Nurnberg Univ.
  • Volume
    5
  • fYear
    1992
  • fDate
    23-26 Mar 1992
  • Firstpage
    101
  • Abstract
    A powerful signal exchange algorithm for the solution of the complex Chebyshev approximation problem was introduced by P.T.P. Tang (1988). It was picked up and modified by A. Alkhairy et al. (1991) for the design of digital FIR filters. This algorithm is extended to solve the approximation problem in conjunction with additional constraints, such as constraints on the filter coefficients, constraints on the magnitude response and/or its derivatives or constraints on the group delay. Since the algorithm deals with a linear optimization problem all constraints have to be linear with respect to the filter coefficients. This linearization, the integration into the complex approximation problem, and the algorithm are shown. An example demonstrating results obtained with the modified algorithm is given
  • Keywords
    approximation theory; digital filters; Chebyshev approximation; digital FIR filters design; filter coefficients; group delay; linear constraints; linear optimization; magnitude response; signal exchange algorithm; Approximation algorithms; Band pass filters; Chebyshev approximation; Constraint optimization; Delay; Finite impulse response filter; Frequency response; Minimization methods; Nonlinear filters; Passband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0532-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1992.226648
  • Filename
    226648