Message-passing decoding of lattices using Gaussian mixtures

IEEE International Symposium on Information Theory - Proceedings

Volumn , Issue , 2008, Pages 2489-2493

  Kurkoski, Brian ^a   Dauwels, Justin ^b,c  

^a UNIVERSITY OF ELECTRO COMMUNICATIONS   (Japan)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISTANCE METRIC; ERROR RATE; GAUSSIAN MIXTURES; GAUSSIANS; INTERNATIONAL SYMPOSIUM; LATTICE CODING; LOWER BOUNDS; MESSAGE-PASSING DECODING; MIXTURE OF GAUSSIANS; POWER SYSTEMS;

CONTROL THEORY; CYBERNETICS; ELECTRIC POWER SYSTEMS; ERROR ANALYSIS; INFORMATION THEORY; MESSAGE PASSING; TECHNICAL PRESENTATIONS;

DECODING;

EID: 52349102984     PISSN: 21578101     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIT.2008.4595439     Document Type: Conference Paper

References (5)

1. N. Sommer, M. Feder, and O. Shalvi, "Low-density lattice codes," IEEE Transactions on Information Theory, vol. 54, pp. 1561-1585, April 2008.
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3. S. Sarvotham, D. Baron, and R. G. Baraniuk, "Compressed sensing reconstruction via belief propagation," Tech. Rep. ECE-06-01, Department of Electrical and Computer Engineering, Rice University, July 2006.
4. G. Poltyrev, "On coding without restrictions for the AWGN channel," IEEE Transactions on Information Theory, vol. 40, pp. 409-417, March 1994.
5. T. M. Cover and J. A. Thomas, Elements of Information Theory. Wiley, 1991.