Decoding via Sampling

Author:

MIYAKE Shigeki1,MURAMATSU Jun2,YAMAGUCHI Takahiro1

Affiliation:

1. NTT Network Innovation Laboratories

2. NTT Communication Science Laboratories

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Reference18 articles.

1. [1] R.G. Gallager, Low Density Parity Check Codes, Research Monograph Series, no.21, MIT Press, Cambridge, MA, 1963.

2. [2] C. Berrou, A. Glavieux, and P. Thitimajshima, “Near Shannon limit error-correcting coding and decoding: Turbo codes,” Proc. 1993 Int. Conf. Commun., pp.1064-1070, May 1993. 10.1109/icc.1993.397441

3. [3] K. Andrews, S. Dolinar, D. Divsalar, and J. Thorpe, “Design of low-density parity-check (LDPC) codes for deep-space applications,” IPN Progress Report 2004, Nov. 2004.

4. [4] R.M. Neal, “Monte Carlo decoding for LDPC codes,” available at https://www.cs.toronto.edu/~radford/ftp/mcdecode-talk.pdf, 2001.

5. [5] X. Zhang and G. Womell, “A sampling method based on LDPC codes,” available at http://approximateinference.org/2015/accepted/ZhangWornell2015.pdf, 2015.

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