Approaching the Slepian-Wolf Limit with LDPC Coset Codes

نویسندگان

  • Jun Chen
  • Dake He
  • Ashish Jagmohan
چکیده

We consider the Slepian-Wolf code design based on LDPC (low-density parity-check) coset codes. We derive the density evolution formula for the Slepian-Wolf coding, equipped with a concentration theorem. An intimate connection between the Slepian-Wolf coding and channel coding is established. Specifically we show that, under density evolution, each Slepian-Wolf source coding problem is equivalent to a channel coding problem for a binaryinput symmetric-output channel. With this connection, many classic results in channel coding can be easily translated into the Slepian-Wolf setting. Index Terms Belief propagation, coset codes, density evolution, LDPC, Slepian-Wolf.

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تاریخ انتشار 2006