• DocumentCode
    2148869
  • Title

    A Computational Form of the Least Square Error Frequency Sampling Method for the Linear Phase FIR Filter Design

  • Author

    Huang, Der-Feng

  • Author_Institution
    Dept. of Electr. Eng., Lung-Hwa Univ. of Sci. & Technol., Taoyuan, Taiwan
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The frequency sampling method is very simple to design FIR filters with arbitrary frequency response. The generic problem of the FIR filter design via the frequency sampling method is to solve the normal equation accurately. A more explicit form to solve the coefficient matrix of the normal equation is derived in this paper. Both the mathematical derivation and the numerical verification are given in this paper. The numerical results compare the coefficient matrix of the proposed form and that of the direct multiplication of coefficient cosine matrix and its transpose. As the number of frequency points increases, the computational error increases accordingly. The proposed formulation can avoid this phenomenon and more robust algorithms can be developed via this approach.
  • Keywords
    FIR filters; frequency response; least squares approximations; matrix algebra; signal sampling; arbitrary frequency response; coefficient cosine matrix; least square error frequency sampling method; linear phase FIR filter design; mathematical derivation; normal equation; numerical verification; Band pass filters; Equations; Finite impulse response filter; Frequency response; Least squares approximation; Least squares methods; Matrix decomposition; Sampling methods; Signal processing algorithms; Signal sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5303855
  • Filename
    5303855