• DocumentCode
    57839
  • Title

    Distributed Joint Source and Channel Coding with Low-Density Parity-Check Codes

  • Author

    Feng Cen

  • Author_Institution
    Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China
  • Volume
    17
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec-13
  • Firstpage
    2336
  • Lastpage
    2339
  • Abstract
    Low-density parity-check (LDPC) codes with the parity-based approach for distributed joint source channel coding (DJSCC) with decoder side information is described in this letter. The parity-based approach is theoretical limit achievable. Different edge degree distributions are used for source variable nodes and parity variable nodes. Particularly, the codeword-averaged density evolution (CADE) is presented for asymmetrically correlated nonuniform sources over the asymmetric memoryless transmission channel. Extensive simulations show that the splitting of variable nodes can improve the coding efficiency of suboptimal codes and lower the error floor.
  • Keywords
    channel coding; codecs; parity check codes; source coding; CADE; DJSCC; LDPC codes; asymmetric memoryless transmission channel; codeword-averaged density evolution; coding efficiency; decoder side information; distributed joint source-channel coding; edge degree distributions; low-density parity-check codes; parity variable nodes; parity-based approach; source variable nodes; suboptimal codes; theoretical limit; variable nodes; Channel coding; Correlation; Decoding; Joints; Parity check codes; Source coding; Distributed joint source-channel coding; density evolution; distributed source coding; low-density parity-check codes; nonuniform sources;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2013.101613.131616
  • Filename
    6636135