Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime

Shota SAITO; Toshiyasu MATSUSHIMA

doi:10.1587/transfun.E100.A.2728

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Shota SAITO, Toshiyasu MATSUSHIMA, "Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 12, pp. 2728-2731, December 2017, doi: 10.1587/transfun.E100.A.2728.
Abstract: This letter treats the problem of lossless fixed-to-variable length source coding in moderate deviation regime. We investigate the behavior of the overflow probability of the Bayes code. Our result clarifies that the behavior of the overflow probability of the Bayes code is similar to that of the optimal non-universal code for i.i.d. sources.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2728/_p

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@ARTICLE{e100-a_12_2728,
author={Shota SAITO, Toshiyasu MATSUSHIMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime},
year={2017},
volume={E100-A},
number={12},
pages={2728-2731},
abstract={This letter treats the problem of lossless fixed-to-variable length source coding in moderate deviation regime. We investigate the behavior of the overflow probability of the Bayes code. Our result clarifies that the behavior of the overflow probability of the Bayes code is similar to that of the optimal non-universal code for i.i.d. sources.},
keywords={},
doi={10.1587/transfun.E100.A.2728},
ISSN={1745-1337},
month={December},}

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TY - JOUR
TI - Evaluation of Overflow Probability of Bayes Code in Moderate Deviation Regime
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2728
EP - 2731
AU - Shota SAITO
AU - Toshiyasu MATSUSHIMA
PY - 2017
DO - 10.1587/transfun.E100.A.2728
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2017
AB - This letter treats the problem of lossless fixed-to-variable length source coding in moderate deviation regime. We investigate the behavior of the overflow probability of the Bayes code. Our result clarifies that the behavior of the overflow probability of the Bayes code is similar to that of the optimal non-universal code for i.i.d. sources.
ER -