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

Research achievement detail

Title Bayes Coding for Multiple Correlated Sources (in Japanese)
Authors Tota Suko 、Shunsuke Horii 、Toshiyasu Matsushima 、Shigeichi Hirasawa
Released Year 2010
Format Conference
Category Source coding
Jounal Name Proceedings of the 33th Symposium on Information Theory and its Applications
Jounal Page pp.759-763
Published Year 2010
Published Month 11
Abstract
(English)
In this study,the problem of universal lossless
codes is investigated. We consider Fixed-to-Variable length
codes for i.i.d. correlated sources with one encoder and
one decoder. Assuming a simple class of source models, we
propose new coding sheme with Bayes codes. The asymp-
totic code length of the proposed codes for this class is also
proved.
Note
(English)
1
Manuscript pdf Download
Presentation