IEICE TRANSACTIONS on Information
On-Line Electrocardiogram Lossless Compression Using Antidictionary Codes for a Finite Alphabet
Summary :
An antidictionary is particularly useful for data compression, and on-line electrocardiogram (ECG) lossless compression algorithms using antidictionaries have been proposed. They work in real-time with constant memory and give better compression ratios than traditional lossless data compression algorithms, while they only deal with ECG data on a binary alphabet. This paper proposes on-line ECG lossless compression for a given data on a finite alphabet. The proposed algorithm gives not only better compression ratios than those algorithms but also uses less computational space than they do. Moreover, the proposed algorithm work in real-time. Its effectiveness is demonstrated by simulation results.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.12 pp.3384-3391
- Publication Date
- 2010/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.3384
- Type of Manuscript
- PAPER
- Category
- Biological Engineering
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Keyword
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Takahiro OTA, Hiroyoshi MORITA, "On-Line Electrocardiogram Lossless Compression Using Antidictionary Codes for a Finite Alphabet" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 12, pp. 3384-3391, December 2010, doi: 10.1587/transinf.E93.D.3384.
Abstract: An antidictionary is particularly useful for data compression, and on-line electrocardiogram (ECG) lossless compression algorithms using antidictionaries have been proposed. They work in real-time with constant memory and give better compression ratios than traditional lossless data compression algorithms, while they only deal with ECG data on a binary alphabet. This paper proposes on-line ECG lossless compression for a given data on a finite alphabet. The proposed algorithm gives not only better compression ratios than those algorithms but also uses less computational space than they do. Moreover, the proposed algorithm work in real-time. Its effectiveness is demonstrated by simulation results.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3384/_p
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@ARTICLE{e93-d_12_3384,
author={Takahiro OTA, Hiroyoshi MORITA, },
journal={IEICE TRANSACTIONS on Information},
title={On-Line Electrocardiogram Lossless Compression Using Antidictionary Codes for a Finite Alphabet},
year={2010},
volume={E93-D},
number={12},
pages={3384-3391},
abstract={An antidictionary is particularly useful for data compression, and on-line electrocardiogram (ECG) lossless compression algorithms using antidictionaries have been proposed. They work in real-time with constant memory and give better compression ratios than traditional lossless data compression algorithms, while they only deal with ECG data on a binary alphabet. This paper proposes on-line ECG lossless compression for a given data on a finite alphabet. The proposed algorithm gives not only better compression ratios than those algorithms but also uses less computational space than they do. Moreover, the proposed algorithm work in real-time. Its effectiveness is demonstrated by simulation results.},
keywords={},
doi={10.1587/transinf.E93.D.3384},
ISSN={1745-1361},
month={December},}
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TY - JOUR
TI - On-Line Electrocardiogram Lossless Compression Using Antidictionary Codes for a Finite Alphabet
T2 - IEICE TRANSACTIONS on Information
SP - 3384
EP - 3391
AU - Takahiro OTA
AU - Hiroyoshi MORITA
PY - 2010
DO - 10.1587/transinf.E93.D.3384
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2010
AB - An antidictionary is particularly useful for data compression, and on-line electrocardiogram (ECG) lossless compression algorithms using antidictionaries have been proposed. They work in real-time with constant memory and give better compression ratios than traditional lossless data compression algorithms, while they only deal with ECG data on a binary alphabet. This paper proposes on-line ECG lossless compression for a given data on a finite alphabet. The proposed algorithm gives not only better compression ratios than those algorithms but also uses less computational space than they do. Moreover, the proposed algorithm work in real-time. Its effectiveness is demonstrated by simulation results.
ER -
English
