• DocumentCode
    1015986
  • Title

    Subband decomposition of signals with generalized sampling

  • Author

    Khansari, M.R.K. ; Leon-Garcia, Alberto

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
  • Volume
    41
  • Issue
    12
  • fYear
    1993
  • fDate
    12/1/1993 12:00:00 AM
  • Firstpage
    3365
  • Lastpage
    3376
  • Abstract
    The authors generalize down and up-sampling operations by proposing block sampling. Perfect reconstruction conditions for two-band subband coding with block sampling are derived. By generalizing the sampling operation, new degrees of freedom are introduced and as a result, filter banks which were not previously possible become possible. Generalized down-sampler introduces different aliasing components than that of the traditional down-sampler. This can be used to ease some the requirements of the filter bank design problem. A constructive sampling method is proposed so that coprimeness of the transfer functions of the analysis filter banks is not only a necessary but also sufficient condition for perfect reconstruction. The results are extended to the case where the filter banks are linear periodically time-varying. The multichannel case is analyzed and the relation between unimodular matrices and perfect reconstruction filter banks is discussed
  • Keywords
    encoding; filtering and prediction theory; matrix algebra; signal processing; transfer functions; aliasing components; analysis filter banks; block sampling; down sampling; filter banks; generalized sampling; linear periodically time-varying filters; multichannel case; perfect reconstruction filter banks; sampling method; subband decomposition; sufficient condition; transfer functions; two-band subband coding; unimodular matrices; up-sampling; Filter bank; Image coding; Image reconstruction; Matrix decomposition; Multidimensional signal processing; Sampling methods; Signal analysis; Signal processing; Sufficient conditions; Transfer functions;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.258080
  • Filename
    258080