1. [Home]
  2. [Research achievement]
  3. [Research achievement detail]

Research achievement detail

Title Evaluation of Minimum Overflow Threshold for Bayes Codes (in Japanese)
Authors Shota SAITO 、Nozomi MIYA 、Ryo NOMURA 、Toshiyasu MATSUSHIMA
Released Year 2013
Format Conference
Category Source coding
Jounal Name Proceedings of the 36th Symposium on Information Theory and its Applications
Jounal Page pp.24-29
Published Year 2013
Published Month 11
Abstract
(English)
The universal lossless source coding problem is considered. The Bayes code is one of universal codes which minimizes the mean code length under the Bayes criterion and its code length has been determined explicitly. Recently, the infimum of the overflow threshold in non-universal setting has been determined for several typical sources. However, there is no study about the overflow probability of the Bayes code. Therefore, in this paper, the Bayes code is focused and the infimum of the overflow threshold of the Bayes code is determined.
Note
(English)
1
Manuscript
Presentation