• DocumentCode
    1231387
  • Title

    Least squared error FIR filter design with transition bands

  • Author

    Burrus, C. Sidney ; Soewito, Admadji W. ; Gopinath, Ramesh A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
  • Volume
    40
  • Issue
    6
  • fYear
    1992
  • fDate
    6/1/1992 12:00:00 AM
  • Firstpage
    1327
  • Lastpage
    1340
  • Abstract
    The authors propose the use of transition bands and transition functions in the ideal amplitude frequency response to allow the analytical design of optimal least-squared-error FIR digital filters with an explicit control of the transition band edges. Design formulas are derived for approximations to ideal frequency responses which use pth-order spline transition functions. A mixed analytical and numerical method for zero-error weight in the transition bands and passband and stopband error weighting functions with an integral squared error approximation are derived. A variable-order spline transition function is developed, and a method for choosing the optimal order to minimize the integral squared approximation error is given
  • Keywords
    digital filters; filtering and prediction theory; frequency response; least squares approximations; splines (mathematics); filter design; ideal amplitude frequency response; integral squared error approximation; least-squared-error FIR digital filters; optimal order; passband error weighting functions; stopband error weighting functions; transition band edges; variable-order spline transition function; zero-error weight; Approximation algorithms; Chebyshev approximation; Computer errors; Digital filters; Error correction; Finite impulse response filter; Frequency domain analysis; Frequency response; Linear programming; Spline;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.139239
  • Filename
    139239