• DocumentCode
    259063
  • Title

    Least-squares design of IIR all-pass filters using closed-form Toeplitz-plus-Hankel matrix

  • Author

    Yue-Dar Jou ; Fu-Kun Chen

  • Author_Institution
    Dept. of Electr. Eng., R.O.C. Mil. Acad., Kaohsiung, Taiwan
  • fYear
    2014
  • fDate
    17-20 Nov. 2014
  • Firstpage
    503
  • Lastpage
    506
  • Abstract
    Least-squares design of infinite impulse response all-pass filters can be simplified by solving a system of linear equations. The set of linear equations associated matrix is further formulated as a Toeplitz-plus-Hankel form such that an efficient and robust Cholesky decomposition or Levinson technique can solve the all-pass filter coefficients. This paper proposes closed-form expressions for the computation of Toeplitz-plus-Hankel matrix. The elements of the closed-form expressions can be directly derived as the passband edges are specified without performing the sum of a series of Toeplitz-plus-Hankel matrix. Simulation results indicate that the proposed method achieves excellent performance with computational efficiency.
  • Keywords
    Hankel matrices; IIR filters; Toeplitz matrices; all-pass filters; least squares approximations; Cholesky decomposition; IIR all-pass filters; Levinson technique; all-pass filter coefficients; closed-form Toeplitz-plus-Hankel matrix; closed-form expressions; computational efficiency; infinite impulse response; least-squares design; linear equations; passband edges; Algorithm design and analysis; Digital filters; Equations; Filtering algorithms; IIR filters; Maximum likelihood detection; Nonlinear filters; Toeplitz-plus-Hankel; all-pass; closed-form; infinite impulse response; least-squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (APCCAS), 2014 IEEE Asia Pacific Conference on
  • Conference_Location
    Ishigaki
  • Type

    conf

  • DOI
    10.1109/APCCAS.2014.7032829
  • Filename
    7032829