• DocumentCode
    867431
  • Title

    Analysis-ready multiwavelets (armlets) for processing scalar-valued signals

  • Author

    Lian, Jian-Ao ; Chui, Charles K.

  • Author_Institution
    Dept. of Math., Prairie View A&M Univ., TX, USA
  • Volume
    11
  • Issue
    2
  • fYear
    2004
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    The notion of armlets is introduced in this letter as a precise formulation of orthonormal multiwavelets that guarantee wavelet decomposition with highpass output not being effected by polynomial perturbation of the input. A mathematical scheme for constructing armlets is given, and it is shown that the notions of armlets and balanced multiwavelets are different. In particular, while balanced wavelets are armlets, the converse is false in general. One advantage of armlets is that the weaker assumption provides flexibility to facilitate wavelet and filter construction.
  • Keywords
    high-pass filters; low-pass filters; matrix algebra; polynomials; signal processing; wavelet transforms; analysis-ready multiwavelets; armlet constructing mathematical scheme; balanced multiwavelet; filter construction; high pass filter annihilation; highpass wavelet decomposition output; matrix Riesz Lemma; orthonormal multiwavelet formulation; polynomial preservation; scalar-valued signal processing; wavelet construction; Computer science; Digital filters; Mathematics; Matrix decomposition; Polynomials; Signal analysis; Signal processing; Statistics; Wavelet analysis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2003.819871
  • Filename
    1261980