• DocumentCode
    1343714
  • Title

    Parameterization of orthogonal wavelet transforms and their implementation

  • Author

    Rieder, Peter ; Götze, Jürgen ; Nossek, Josef A. ; Burrus, C. Sidney

  • Author_Institution
    Inst. of Network Theory & Circuit Design, Tech. Univ. Munchen, Germany
  • Volume
    45
  • Issue
    2
  • fYear
    1998
  • fDate
    2/1/1998 12:00:00 AM
  • Firstpage
    217
  • Lastpage
    226
  • Abstract
    In this paper, a method for parameterizing orthogonal wavelet transforms is presented. The parameter space is given by the rotation angles of the orthogonal 2×2 rotations used in the lattice filters realizing the stages of the wavelet transform. Different properties of orthogonal wavelet transforms can be expressed in this parameter space. Then, the parameter space is restricted to the set of rotation angles given by simple orthogonal μ-rotations, i,e., the set of rotation angles αk=arctan 2-k (k∈{0, 1,···, w} where w is the word length). An orthogonal μ-rotation is essentially one recursion step of the CORDIC algorithm. The wavelet transforms in the reduced parameter space are amenable to a very simple implementation. Only a small number of shift and add operations instead of fully fledged multipliers is required
  • Keywords
    filtering theory; lattice filters; wavelet transforms; CORDIC algorithm; lattice filters; orthogonal 2×2 rotations; orthogonal wavelet transforms; parameter space; parameterization; recursion step; rotation angles; shift/add operations; Circuit synthesis; Discrete wavelet transforms; Filters; Frequency; Image coding; Lattices; Optimization methods; Signal processing algorithms; Very large scale integration; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7130
  • Type

    jour

  • DOI
    10.1109/82.661654
  • Filename
    661654