On-Line Electrocardiogram Lossless Compression Using Antidictionary Codes for a Finite Alphabet
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概要
- 論文の詳細を見る
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.
- （社）電子情報通信学会の論文
- 2010-12-01
著者
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Morita Hiroyoshi
Graduate School Of Information Systems The University Of Electro-communications
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Ota Takahiro
Dept. Of Electronic Engineering Nagano Prefectural Institute Of Technology
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OTA Takahiro
Dept. of Electronic Engineering, Nagano Prefectural Institute of Technology
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OTA Takahiro
Dept. of Computer & Systems Engineering, Nagano Prefectural Institute of Technology
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