• DocumentCode
    2623365
  • Title

    Scalar quantization of memoryless sources over memoryless channels using rate-one convolutional codes

  • Author

    Phamdo, Nam ; Farvardin, Nariman

  • Author_Institution
    Dept. of Electr. Eng., State Univ. of New York, Stony Brook, NY, USA
  • fYear
    1994
  • fDate
    27 Jun-1 Jul 1994
  • Firstpage
    235
  • Abstract
    Source and channel coding techniques are widely employed in many communication systems. In source coding, the objective is to retain the essential information of the source by removing its redundancy. Channel coding, on the other hand, introduces redundancy in order to provide protection against channel noise. When designing channel codes, it is common to assume that the source encoder has removed all of the source redundancy. In some practical situations, however, the source encoder fails to entirely eliminate the source redundancy. In these cases, the redundancy remaining at the output of the source encoder, the residual redundancy, may be used to combat channel noise
  • Keywords
    channel coding; convolutional codes; memoryless systems; noise; quantisation (signal); redundancy; source coding; telecommunication channels; channel codes; channel coding; channel noise protection; communication systems; memoryless channels; memoryless sources; rate-one convolutional codes; residual redundancy; scalar quantization; source coding; source encoder; source redundancy; Channel coding; Convolutional codes; Decoding; Detectors; Educational institutions; Entropy; Feedback; Protection; Quantization; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
  • Conference_Location
    Trondheim
  • Print_ISBN
    0-7803-2015-8
  • Type

    conf

  • DOI
    10.1109/ISIT.1994.394975
  • Filename
    394975