• DocumentCode
    2707304
  • Title

    A Lagrangian formulation of fixed-rate quantization

  • Author

    Gray, Robert M.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • fYear
    2005
  • fDate
    29-31 March 2005
  • Firstpage
    261
  • Lastpage
    269
  • Abstract
    A Lagrangian formulation of fixed-rate vector quantization is presented. The formulation provides an alternative version of the classic high-rate quantization approximations for fixed-rate codes of Zador (1966), and Bucklew and Wise (1982) which parallels the Lagrangian results for variable-rate codes and it leads to a variation of the classic Lloyd (1982) algorithm for quantizer design. The approach also leads to a natural Lagrangian formulation combining both common rate constraints of alphabet size and entropy, effectively providing a Lagrangian formulation of memory and entropy constrained vector quantization.
  • Keywords
    entropy codes; rate distortion theory; vector quantisation; Lagrangian formulation; Lloyd algorithm; alphabet size; entropy; fixed-rate codes; fixed-rate vector quantization; high-rate quantization; memory constrained vector quantization; quantizer design; rate constraints; Algorithm design and analysis; Clustering algorithms; Constraint optimization; Constraint theory; Data compression; Design optimization; Entropy; Lagrangian functions; Rate distortion theory; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2005. Proceedings. DCC 2005
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2309-9
  • Type

    conf

  • DOI
    10.1109/DCC.2005.7
  • Filename
    1402187