A context based lossless compression algorithm for ionogram data

被引：0
|
作者：
Ye, H [1 ]
Devlin, JC [1 ]
Deng, G [1 ]
机构：
[1] La Trobe Univ, Sch Elect Engn, Bundoora, Vic 3083, Australia
来源：
ISCAS '98 - PROCEEDINGS OF THE 1998 INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-6 | 1998年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Context modeling has recently drawn much research interest to improve the performance of a compression algorithm for binary data such as images. This is because it can help to remove the remaining statistical redundancy among the data after the prediction stage. In this paper, a simple context modelling scheme is proposed in the lossless compression of ionogram data. Experiments show that compared with the one without context modelling, this scheme can provide an over 13% increase in the average compression ratio for the sample data files with almost nothing added in the computation complexity.
引用
收藏
页码：D321 / D324
页数：4
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