TY - GEN
T1 - An improved upper bound on block error probability of least squares superposition codes with unbiased Bernoulli dictionary
AU - Takeishi, Yoshinari
AU - Takeuchi, Jun'Ichi
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/10
Y1 - 2016/8/10
N2 - For the additive white Gaussian noise channel with average power constraint, it is shown that sparse superposition codes, proposed by Barron and Joseph in 2010, achieve the capacity. We study the upper bounds on its block error probability with least squares decoding when a dictionary with which we make codewords is drawn from an unbiased Bernoulli distribution. We improve the upper bounds shown by Takeishi et.al. in 2014 with fairly simplified form.
AB - For the additive white Gaussian noise channel with average power constraint, it is shown that sparse superposition codes, proposed by Barron and Joseph in 2010, achieve the capacity. We study the upper bounds on its block error probability with least squares decoding when a dictionary with which we make codewords is drawn from an unbiased Bernoulli distribution. We improve the upper bounds shown by Takeishi et.al. in 2014 with fairly simplified form.
UR - http://www.scopus.com/inward/record.url?scp=84985946949&partnerID=8YFLogxK
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U2 - 10.1109/ISIT.2016.7541483
DO - 10.1109/ISIT.2016.7541483
M3 - Conference contribution
AN - SCOPUS:84985946949
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1168
EP - 1172
BT - Proceedings - ISIT 2016; 2016 IEEE International Symposium on Information Theory
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Symposium on Information Theory, ISIT 2016
Y2 - 10 July 2016 through 15 July 2016
ER -