2016 Fiscal Year Final Research Report
Systematic unification of fundamental data compression methods related to CSE
Project/Area Number |
26330005
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Theory of informatics
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Research Institution | Gunma University |
Principal Investigator |
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Project Period (FY) |
2014-04-01 – 2017-03-31
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Keywords | 情報基礎 / 情報理論 / データ圧縮 / ユニバーサル符号 / エントロピー符号化 |
Outline of Final Research Achievements |
We have developed and analyzed an efficient implementation for the target method known as compression by substring enumeration (CSE). We have established a system of data compression techniques related to the CSE. First, we introduced the Burrows-Wheeler (BW) transform to realize a faster implementation of CSE. Second, we developed a new enumeration method which can be applied to a BW-transformed string. We have shown that the combination of the new method with the BW transform is completely equivalent to the CSE. Finally, we analyzed two entropy coders: asymmetric binary systems and asymmetric numeral systems as a possible final step encoder for CSE. We have shown that both entropy coders asymptotically attain the entropy bound for any memoryless source.
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Free Research Field |
情報数理工学
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