• DocumentCode
    1094717
  • Title

    Efficient iterative design method for cosine-modulated QMF banks

  • Author

    Xu, Hua ; Lu, Wu-Sheng ; Antoniou, Andreas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
  • Volume
    44
  • Issue
    7
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    1657
  • Lastpage
    1668
  • Abstract
    An iterative algorithm for the design of multichannel cosine-modulated quadrature mirror-image filter (QMF) banks with near-perfect reconstruction is proposed. The objective function is formulated as a quadratic function in each step whose minimum point can be obtained using a closed-form solution. This approach has high design efficiency and leads to filter banks with high stopband attenuation and low aliasing and amplitude distortions. The proposed approach is then extended to the design of multichannel cosine-modulated QMF banks with low reconstruction delays, which are often required, especially in real-time applications. Several design examples are included to demonstrate the proposed algorithms, and some comparisons are made with existing designs
  • Keywords
    band-pass filters; filtering theory; iterative methods; modulation; quadrature mirror filters; signal processing; closed-form solution; cosine-modulated QMF banks; design efficiency; iterative algorithm; iterative design method; low aliasing distortion; low amplitude distortion; low reconstruction delays; multichannel cosine-modulated filter banks; multirate signal processing; near-perfect reconstruction; objective function; quadratic function; real-time applications; stopband attenuation; Algorithm design and analysis; Attenuation; Delay; Design methodology; Filter bank; Image reconstruction; Iterative algorithms; Iterative methods; Signal processing algorithms; Speech analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.510614
  • Filename
    510614