Compression with Side Information Using Turbo Codes

  • Authors:
  • Anne Aaron;Bernd Girod

  • Affiliations:
  • -;-

  • Venue:
  • DCC '02 Proceedings of the Data Compression Conference
  • Year:
  • 2002

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Abstract

We show that turbo codes can come close to the Slepian-Wolf bound in lossless distributed source coding. In the asymmetric scenario considered, X and Y are statistically dependent signals and X is encoded with no knowledge of Y. However, Y is known as side information at the decoder. We use a system based on turbo codes to send X at a rate close to H(X|Y). We apply our system to binary sequences and simulations show performance close to the information-theoretic limit. For distributed source coding of Gaussian sequences, our results show significant improvement over previous work. The scheme also performs well for joint source-channel coding.