文献类型：期刊文献

英文题名：Particle algorithm for lossless data compression

作者：Shuai, Dianxun[1]; Zhang, Ping[2]; Zhang, Bin[1]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, 200237 Shanghai, China; [2] Institute of Intelligent Information Processing, Xidian University, 710071 Xian, China

年份：2006

卷号：5

起止页码：3766

外文期刊名：Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

收录：EI(收录号：20073510787053)

语种：英文

外文关键词：Algorithms - Codes (symbols) - Mathematical models

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. ? 2006 IEEE.