IEICE TRANSACTIONS on Fundamentals
A Compact Tree Representation of an Antidictionary
Summary :
In both theoretical analysis and practical use for an antidictionary coding algorithm, an important problem is how to encode an antidictionary of an input source. This paper presents a proposal for a compact tree representation of an antidictionary built from a circular string for an input source. We use a technique for encoding a tree in the compression via substring enumeration to encode a tree representation of the antidictionary. Moreover, we propose a new two-pass universal antidictionary coding algorithm by means of the proposal tree representation. We prove that the proposed algorithm is asymptotic optimal for a stationary ergodic source.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.9 pp.1973-1984
- Publication Date
- 2017/09/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.1973
- Type of Manuscript
- PAPER
- Category
- Information Theory
Authors
Takahiro OTA
Nagano Prefectural Institute of Technology
Hiroyoshi MORITA
The University of Electro-Communications
Keyword
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Takahiro OTA, Hiroyoshi MORITA, "A Compact Tree Representation of an Antidictionary" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 9, pp. 1973-1984, September 2017, doi: 10.1587/transfun.E100.A.1973.
Abstract: In both theoretical analysis and practical use for an antidictionary coding algorithm, an important problem is how to encode an antidictionary of an input source. This paper presents a proposal for a compact tree representation of an antidictionary built from a circular string for an input source. We use a technique for encoding a tree in the compression via substring enumeration to encode a tree representation of the antidictionary. Moreover, we propose a new two-pass universal antidictionary coding algorithm by means of the proposal tree representation. We prove that the proposed algorithm is asymptotic optimal for a stationary ergodic source.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1973/_p
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@ARTICLE{e100-a_9_1973,
author={Takahiro OTA, Hiroyoshi MORITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Compact Tree Representation of an Antidictionary},
year={2017},
volume={E100-A},
number={9},
pages={1973-1984},
abstract={In both theoretical analysis and practical use for an antidictionary coding algorithm, an important problem is how to encode an antidictionary of an input source. This paper presents a proposal for a compact tree representation of an antidictionary built from a circular string for an input source. We use a technique for encoding a tree in the compression via substring enumeration to encode a tree representation of the antidictionary. Moreover, we propose a new two-pass universal antidictionary coding algorithm by means of the proposal tree representation. We prove that the proposed algorithm is asymptotic optimal for a stationary ergodic source.},
keywords={},
doi={10.1587/transfun.E100.A.1973},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - A Compact Tree Representation of an Antidictionary
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1973
EP - 1984
AU - Takahiro OTA
AU - Hiroyoshi MORITA
PY - 2017
DO - 10.1587/transfun.E100.A.1973
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2017
AB - In both theoretical analysis and practical use for an antidictionary coding algorithm, an important problem is how to encode an antidictionary of an input source. This paper presents a proposal for a compact tree representation of an antidictionary built from a circular string for an input source. We use a technique for encoding a tree in the compression via substring enumeration to encode a tree representation of the antidictionary. Moreover, we propose a new two-pass universal antidictionary coding algorithm by means of the proposal tree representation. We prove that the proposed algorithm is asymptotic optimal for a stationary ergodic source.
ER -
English
