• DocumentCode
    1066811
  • Title

    Subsampling matrices for wavelet decompositions on body centered cubic lattices

  • Author

    Entezari, Alireza ; Möller, Torsten ; Vaisey, Jacques

  • Author_Institution
    Simon Fraser Univ., Burnaby, BC, Canada
  • Volume
    11
  • Issue
    9
  • fYear
    2004
  • Firstpage
    733
  • Lastpage
    735
  • Abstract
    This work derives a family of dilation matrices for the body-centered cubic (BCC) lattice, which is optimal in the sense of spectral sphere packing. While satisfying the necessary conditions for dilation, these matrices are all cube roots of an integer scalar matrix. This property offers theoretical advantages for construction of wavelet functions in addition to the practical advantages when iterating through a perfect reconstruction filter bank based on BCC downsampling. Lastly, we factor the BCC matrix into two matrices that allow us to cascade two two-channel perfect reconstruction filter banks in order to construct a four-channel perfect reconstruction filter bank based on BCC downsampling.
  • Keywords
    channel bank filters; iterative methods; lattice theory; matrix algebra; signal sampling; wavelet transforms; BCC downsampling; body centered cubic lattices; cube roots; dilation matrices; four-channel perfect reconstruction filter bank; integer scalar matrix; perfect reconstruction filter bank; spectral sphere packing; subsampling matrices; two-channel perfect reconstruction filter banks; wavelet decompositions; wavelet functions; FCC; Filter bank; Frequency domain analysis; Helium; Lattices; Matrix decomposition; Multidimensional systems; Sampling methods; Signal sampling; Wavelet transforms; Body centered cubic lattice; dilation matrix; wavelet decomposition;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2004.833486
  • Filename
    1324713