• DocumentCode
    2742220
  • Title

    Fast algorithms for optimal two-description scalar quantizer design

  • Author

    Dumitrescu, Sorina ; Wu, Xiaolin ; Bahl, Gaurav

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
  • fYear
    2004
  • fDate
    23-25 March 2004
  • Firstpage
    42
  • Lastpage
    51
  • Abstract
    New efficient algorithms are presented to design globally optimal two-description quantizers of fixed rate. The optimization objective is to minimize the expected distortion at the receiver side. We formulate the problem as one of shortest path in a directed acyclic graph. The fixed rate requirement puts constraints on the number and type of edges of the shortest path, which leads to an O(K1K2N3) time design algorithm, where N is the cardinality of the source alphabet, and K1, K2 are the number of codecells, respectively, of the two side quantizers. This complexity is reduced to O(K1K2N2) by exploiting a so-called Monge property of the objective function. Furthermore, if K1=K2=K and the two descriptions are subject to the same channel statistics, then the optimal description quantizer design problem can be solved in O(KN2) time.
  • Keywords
    distortion; graph theory; optimisation; quantisation (signal); source coding; Monge property; channel statistic; codecell; directed acyclic graph; distortion; fast time design algorithm; optimal two-description scalar quantizer design; optimization; source alphabet; Algorithm design and analysis; Collaboration; Data compression; Decoding; Distortion measurement; Information science; Random variables; Sensor phenomena and characterization; Source coding; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2004. Proceedings. DCC 2004
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-2082-0
  • Type

    conf

  • DOI
    10.1109/DCC.2004.1281449
  • Filename
    1281449