Research field (2)：
Information theory
, Communication and network engineering
Research keywords (2)：
Shannon Theory
, Information Theory
Research theme for competitive and other funds (6)：
2018 - 2023 ビッグデータ解析のためのデータ圧縮法の開発
2016 - 2019 Automated Generation of No Logical Gap Readable Proof for Information Theory
2014 - 2018 Development of Universal Variable-Length Data Compression Schemes for Broadcasting
2013 - 2016 Formalization on Modern Coding Theory
2010 - 2012 Construction of universal data compression schemes for sensor network
2007 - 2008 Efficient data compression schemes for sensor networks
Show all
Papers (28)：
Shigeaki Kuzuoka. Coding theorems for source coding with cost. Proc. of 2024 International Symposium on Information Theory and its Applications. 2024. 446-450
N. Joki, S. Kuzuoka. A study on the joint source-channel coding for computing functions: An approach from a dichotomy of functions. Proc. of 2021 IEEE Information Theory Workshop. 2021
Shigeaki Kuzuoka. Asynchronous guessing subject to distortion. Proceedings of 2021 IEEE International Symposium on Information Theory. 2021. 2008-2012
A study on the overflow probability of variable-to-fixed length codes. Proc. of 2020 International Symposium on Information Theory and its Applications. 2020. 26-30
KUZUOKA Shigeaki, UYEMATSU Tomohiko, MATSUMOTO Ryutaroh. Universal Data Compression Algorithm with Side Information Based on LZW Algorithm. Proceedings of the IEICE General Conference. 2002. 2002. 201-201
Books (1)：
情報・符号理論
2013
Lectures and oral presentations (34)：
Coding theorems for source coding with cost
(SITA2023 2023)
On Guessing and Representation of Integers
(The 2023 Shannon Theory Workshop 2023)
A Study of Computability in Distributed Computing With Joint Source-Channel Coding Over Multiple-Access Channel
(The 44th Symposium on Information Theory and its Applications (SITA2021) 2021)
