• DocumentCode
    1510731
  • Title

    Boundary filter optimization for segmentation-based subband coding

  • Author

    Mertins, Alfred

  • Author_Institution
    Sch. of Electr., Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia
  • Volume
    49
  • Issue
    8
  • fYear
    2001
  • fDate
    8/1/2001 12:00:00 AM
  • Firstpage
    1718
  • Lastpage
    1727
  • Abstract
    This paper presents boundary optimization techniques for the nonexpansive decomposition of arbitrary-length signals with multirate filterbanks. Both biorthogonal and paraunitary filterbanks are considered. The paper shows how matching moments and orthonormality can be imposed as additional conditions during the boundary filter optimization process. It provides direct solutions to the problem of finding good boundary filters for the following cases: (a) biorthogonal boundary filters with exactly matching moments and (b) orthonormal boundary filters with almost matching moments. With the proposed methods, numerical optimization is only needed if orthonormality and exactly matching moments are demanded. The proposed direct solutions are applicable to systems with a large number of subbands and/or very long filter impulse responses. Design examples show that the methods allow the design of boundary filters with good frequency selectivity
  • Keywords
    audio coding; channel bank filters; circuit optimisation; data compression; image coding; image segmentation; network synthesis; transient response; arbitrary-length signals; audio compression; biorthogonal boundary filters; biorthogonal filterbank; boundary filter optimization; cosine-modulated filterbanks; direct solutions; filter impulse response; frequency selectivity; image compression; matching moments; multirate filterbanks; nonexpansive decomposition; numerical optimization; orthonormal boundary filters; paraunitary filterbank; segmentation-based subband coding; Biomedical signal processing; Design methodology; Frequency; Image coding; Image reconstruction; Image segmentation; Matched filters; Optimization methods; Propagation losses; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.934142
  • Filename
    934142