Optimized concatenated LDPC codes for joint source-channel coding

  • Authors:
  • Maria Fresia;Fernando Pérez-Cruz;H. Vincent Poor

  • Affiliations:
  • Department of Electrical Engineering, Princeton University, Princeton, New Jersey;Department of Electrical Engineering, Princeton University, Princeton, New Jersey and Department of Signal Theory and Communications, University Carlos III, Leganés, Madrid;Department of Electrical Engineering, Princeton University, Princeton, New Jersey

  • Venue:
  • ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
  • Year:
  • 2009

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Abstract

In this paper a scheme for joint source-channel coding based on low-density-parity-check (LDPC) codes is investigated. Two concatenated independent LDPC codes are used in the transmitter: one for source coding and the other for channel coding, with a joint belief propagation decoder. The asymptotic behavior is analyzed using EXtrinsic Information Transfer (EXIT) charts and this approximation is corroborated with illustrative experiments. The optimization of the degree distributions for our sparse code to maximize the information transmission rate is also considered.