• DocumentCode
    918666
  • Title

    Variable-rate finite-state vector quantization and applications to speech and image coding

  • Author

    Hussain, Yunus ; Farvardin, N.

  • Author_Institution
    Maryland Univ., College Park, MD, USA
  • Volume
    1
  • Issue
    1
  • fYear
    1993
  • fDate
    1/1/1993 12:00:00 AM
  • Firstpage
    25
  • Lastpage
    38
  • Abstract
    Two variable rate versions of the finite-state vector quantizer introduced by J. Foster, M.O. Dunham, and R.M. Gray (FDG) (1985) are presented, with the possibility of using structured as well as unstructured state codebooks. In the first scheme, the state codebook sizes can be different for different states, implying different rate distribution among the states. In the second scheme, in addition to this flexibility, pruned tree-structured vector quantizers are used as the state quantizers, i.e., each of the state quantizers can be a variable-rate encoder. For encoding sampled speech data, both schemes perform significantly better than the fixed-rate FDG scheme, and the second scheme gives the best performance of all. The 2-D extension of the above schemes is considered, and two low-bit rate image coding systems based on them are described
  • Keywords
    image coding; speech coding; vector quantisation; finite-state vector quantization; low-bit rate image coding systems; pruned tree-structured vector quantizers; rate distribution; sampled speech data; speech coding; state codebook sizes; state quantizers; structured state codebook; unstructured state codebooks; variable rate quantisation; variable-rate encoder; Bit rate; Data compression; Gaussian processes; H infinity control; Image coding; PSNR; Speech coding; Speech processing; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.221365
  • Filename
    221365