• DocumentCode
    1009613
  • Title

    A weighted least-square-based approach to FIR filter design using the frequency-response masking technique

  • Author

    Lee, W.R. ; Rehbock, V. ; Teo, K.L. ; Caccetta, L.

  • Author_Institution
    Dept. of Math. & Stat., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    11
  • Issue
    7
  • fYear
    2004
  • fDate
    7/1/2004 12:00:00 AM
  • Firstpage
    593
  • Lastpage
    596
  • Abstract
    This paper presents a new method for the design of sharp linear phase FIR filters using the frequency-response masking (FRM) technique. The method is based on a weighted least square (WLS) approach, and the design problem is solved iteratively. The original least square (LS) problem is decomposed into two LS problems, each of which can be solved analytically. The effectiveness of the method is demonstrated through the design of a lowpass linear phase sharp FIR digital filter.
  • Keywords
    FIR filters; frequency response; least squares approximations; linear phase filters; low-pass filters; minimax techniques; FIR digital filter design; FRM; frequency-response masking technique; linear phase filter; lowpass filter; minimax; weighted least-square; Design methodology; Digital filters; Finite impulse response filter; Frequency; Helium; Least squares methods; Mathematics; Minimax techniques; Optimization methods; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2004.830109
  • Filename
    1306471