Spatially-coupled codes for side-information problems
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Kumar, S; Vem, A; Narayanan, K; Pfister, HD
Published in: IEEE International Symposium on Information Theory - Proceedings
January 1, 2014
For compound LDGM/LDPC codes with maximum a posteriori (MAP) processing, Wainwright and Martinian showed that the information-theoretic rate regions of the Wyner-Ziv (WZ) and Gelfand-Pinsker (GP) problems are achievable. For the same ensemble, these rates do not appear to be achievable with message-passing guided decimation (GD). Fortunately, spatially-coupled (SC) codes seem to provide an elegant remedy when iterative decoding falls short of MAP decoding. In particular, Aref et al. recently introduced SC LDGM codes that approach the rate-distortion region with belief-propagation guided decimation (BPGD). In this paper, we show that SC compound LDGM/LDPC codes with BPGD can approach the rate regions of the WZ and GP problems. © 2014 IEEE.
Duke Scholars
Published In
IEEE International Symposium on Information Theory - Proceedings
DOI
ISSN
2157-8095
Publication Date
January 1, 2014
Start / End Page
516 / 520
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Kumar, S., Vem, A., Narayanan, K., & Pfister, H. D. (2014). Spatially-coupled codes for side-information problems. In IEEE International Symposium on Information Theory - Proceedings (pp. 516–520). https://doi.org/10.1109/ISIT.2014.6874886
Kumar, S., A. Vem, K. Narayanan, and H. D. Pfister. “Spatially-coupled codes for side-information problems.” In IEEE International Symposium on Information Theory - Proceedings, 516–20, 2014. https://doi.org/10.1109/ISIT.2014.6874886.
Kumar S, Vem A, Narayanan K, Pfister HD. Spatially-coupled codes for side-information problems. In: IEEE International Symposium on Information Theory - Proceedings. 2014. p. 516–20.
Kumar, S., et al. “Spatially-coupled codes for side-information problems.” IEEE International Symposium on Information Theory - Proceedings, 2014, pp. 516–20. Scopus, doi:10.1109/ISIT.2014.6874886.
Kumar S, Vem A, Narayanan K, Pfister HD. Spatially-coupled codes for side-information problems. IEEE International Symposium on Information Theory - Proceedings. 2014. p. 516–520.
Published In
IEEE International Symposium on Information Theory - Proceedings
DOI
ISSN
2157-8095
Publication Date
January 1, 2014
Start / End Page
516 / 520