• DocumentCode
    1433446
  • Title

    Frequency-warped filter banks and wavelet transforms: a discrete-time approach via Laguerre expansion

  • Author

    Evangelista, Gianpaolo ; Cavaliere, Sergio

  • Author_Institution
    Dept. of Phys. Sci., Naples Univ., Italy
  • Volume
    46
  • Issue
    10
  • fYear
    1998
  • fDate
    10/1/1998 12:00:00 AM
  • Firstpage
    2638
  • Lastpage
    2650
  • Abstract
    We introduce a new generation of perfect-reconstruction filter banks that can be obtained from classical critically sampled filter banks by means of frequency transformations. The novel filters are Laguerre type IIR filters that can be directly derived and designed from ordinary orthogonal or biorthogonal filter banks. Generalized downsampling and upsampling operators based on dispersive delay lines are the building blocks of our structures. By iterating the filter banks, we construct new orthogonal and complete sets of wavelets whose passbands are not octave spaced and may be designed by selecting a single parameter
  • Keywords
    FIR filters; band-pass filters; computational complexity; discrete time filters; filtering theory; quadrature mirror filters; sequences; signal reconstruction; signal sampling; wavelet transforms; FIR filter; Laguerre sequence expansion; Laguerre type IIR filters; QMF impulse response; biorthogonal filter banks; discrete-time approach; dispersive delay lines; frequency transformations; frequency-warped filter banks; generalized downsampling operator; generalized upsampling operator; iterated filter banks; orthogonal filter banks; parameter selection; passbands; perfect-reconstruction filter banks; wavelet transforms; Channel bank filters; Delay lines; Discrete wavelet transforms; Dispersion; Filter bank; Frequency; IIR filters; Passband; Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.720367
  • Filename
    720367