• DocumentCode
    1022119
  • Title

    Weighted least-squares design and characterization of complex FIR filters

  • Author

    Jaffer, Amin G. ; Jones, William E.

  • Author_Institution
    Hughes Aircraft Co., Fullerton, CA, USA
  • Volume
    43
  • Issue
    10
  • fYear
    1995
  • fDate
    10/1/1995 12:00:00 AM
  • Firstpage
    2398
  • Lastpage
    2401
  • Abstract
    The paper presents two novel weighted least-squares methods for the design of complex coefficient finite impulse response (FIR) filters to attain specified arbitrary multiband magnitude and linear or arbitrary phase responses. These methods are computationally efficient, requiring only the solution of a Toeplitz system of N linear equations for an N-length filter that can be obtained in o(N2) operations. Illustrative filter design examples are presented
  • Keywords
    FIR filters; Toeplitz matrices; digital filters; least squares approximations; N-length filter; Toeplitz system; arbitrary phase response; characterization; complex FIR filters; design; filter design; finite impulse response; linear equations; linear phase response; multiband magnitude; weighted least-squares methods; Algorithm design and analysis; Chebyshev approximation; Design methodology; Equations; Finite impulse response filter; Frequency response; Nonlinear filters; Radar applications; Radar clutter; Sonar;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.469851
  • Filename
    469851
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1022119