• DocumentCode
    2457864
  • Title

    Partial-Order Bit-Allocation Schemes for Lowrate Quantization

  • Author

    Ramprashad, Sean A.

  • Author_Institution
    DoCoMo Commun. Labs., San Jose, CA
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    1059
  • Lastpage
    1066
  • Abstract
    We consider quantizers that are structured using permuted patterns of bit-allocations. The designs assign bits to subvectors xk within a target vector x through a partial ordering of one or more "base" bit-allocations. The approach allows for a tradeoff in the bits spent explicitly on order information (position of each quantized subvector x circk in a vector) and bits spent on traditional quantization within each subvector (which represents a mix of order and value information). Prior work looked at designs for i.i.d. random variables and quantizers for speech/audio coders considering a limited range of ordering/permutation strategies. This paper investigates in more detail the balance of order and value information and looks at ways to improve performance by considering a wider range of strategies and design methods.
  • Keywords
    audio coding; speech coding; vector quantisation; audio coders; i.i.d. random variables; partial-order bit-allocation schemes; quantization; speech coders; subvector quantizers; Audio coding; Bit rate; Design methodology; Design optimization; Entropy; Image coding; Product codes; Quantization; Random variables; Speech coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354915
  • Filename
    4176725