TY - GEN
T1 - Improved linear programming decoding using frustrated cycles
AU - Kudekar, Shrinivas
AU - Johnson, Jason K.
AU - Chertkov, Misha
PY - 2013
Y1 - 2013
N2 - We consider data transmission over a binary-input additive white Gaussian noise channel using low-density parity-check codes. One of the most popular techniques for decoding low-density parity-check codes is the linear programming decoder. In general, the linear programming decoder is suboptimal. In this paper we present a systematic approach to enhance the linear programming decoder. More precisely, in the cases where the linear program outputs a fractional solution, we give a simple algorithm to identify frustrated cycles which cause the output of the linear program to be fractional. Then adding these cycles, adaptively to the basic linear program, we show improved word error rate performance.
AB - We consider data transmission over a binary-input additive white Gaussian noise channel using low-density parity-check codes. One of the most popular techniques for decoding low-density parity-check codes is the linear programming decoder. In general, the linear programming decoder is suboptimal. In this paper we present a systematic approach to enhance the linear programming decoder. More precisely, in the cases where the linear program outputs a fractional solution, we give a simple algorithm to identify frustrated cycles which cause the output of the linear program to be fractional. Then adding these cycles, adaptively to the basic linear program, we show improved word error rate performance.
UR - http://www.scopus.com/inward/record.url?scp=84890405855&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890405855&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2013.6620476
DO - 10.1109/ISIT.2013.6620476
M3 - Conference contribution
AN - SCOPUS:84890405855
SN - 9781479904464
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1496
EP - 1500
BT - 2013 IEEE International Symposium on Information Theory, ISIT 2013
T2 - 2013 IEEE International Symposium on Information Theory, ISIT 2013
Y2 - 7 July 2013 through 12 July 2013
ER -