• DocumentCode
    1016076
  • Title

    Theory of regular M-band wavelet bases

  • Author

    Steffen, Peter ; Heller, Peter N. ; Gopinath, Ramesh A. ; Burrus, C.S.

  • Author_Institution
    Inst. for Commun. Theory, Erlangen-Nurnberg Univ., Germany
  • Volume
    41
  • Issue
    12
  • fYear
    1993
  • fDate
    12/1/1993 12:00:00 AM
  • Firstpage
    3497
  • Lastpage
    3511
  • Abstract
    Orthonormal M-band wavelet bases have been constructed and applied by several authors. This paper makes three main contributions. First, it generalizes the minimal length K-regular 2-band wavelets of Daubechies (1988) to the M-band case by deriving explicit formulas for K-regular M-band scaling filters. Several equivalent characterizations of K-regularity are given and their significance explained. Second, two approaches to the construction of the (M-1) wavelet filters and associated wavelet bases are described; one relies on a state-space characterization with a novel technique to obtain the unitary wavelet filters; the other uses a factorization approach. Third, this paper gives a set of necessary and sufficient condition on the M-band scaling filter for it to generate an orthonormal wavelet basis. The conditions are very similar to those obtained by Cohen (1990) and Lawton (1990) for 2-band wavelets
  • Keywords
    digital filters; filtering and prediction theory; signal processing; state-space methods; wavelet transforms; K-regular M-band scaling filters; minimal length K-regular 2-band wavelets; necessary condition; orthonormal M-band wavelet bases; regular M-band wavelet bases; state-space characterization; sufficient condition; unitary wavelet filters; Bandwidth; Channel bank filters; Compaction; Filter bank; Narrowband; RF signals; Radio frequency; Signal analysis; Signal processing; Sufficient conditions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.258088
  • Filename
    258088