Particle algorithm for lossless data compression

被引：0
|
作者：
Dianxun Shuai [1 ]
Ping Zhang [2 ]
Bin Zhang [1 ]
机构：
[1] E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China
[2] Xidian Univ, Inst Intelligent Informat Proc, Xian 710071, Peoples R China
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new generalized particle model (GPM) to generate the prediction coding for lossless data compression. The basic conception, parallel algorithm, properties and realization scheme of GPM are discussed. The proposed GPM approach has advantages over other serial lossless compression methods in terms of parallelism, scalability and easy hardware implementation. GPM is suitable for the lossless compression based on various prediction models and higher-order transition models.
引用
收藏
页码：3766 / +
页数：2
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