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计算机工程 ›› 2011, Vol. 37 ›› Issue (2): 40-42. doi: 10.3969/j.issn.1000-3428.2011.02.014

• 软件技术与数据库 • 上一篇    下一篇

RWM & DEWS数据二次压缩算法研究

周双英,余建桥   

  1. (西南大学计算机与信息科学学院,重庆 400715)
  • 出版日期:2011-01-20 发布日期:2011-01-25
  • 作者简介:周双英(1985-),女,硕士研究生,主研方向:数据挖掘,实时数据压缩算法;余建桥,教授

Research of Secondary Compression Algorithm of RWM & DEWS Data

ZHOU Shuang-ying, YU Jian-qiao   

  1. (College of Computer and Information Science, Southwest University, Chongqing 400715, China)
  • Online:2011-01-20 Published:2011-01-25

摘要: 对柑橘实时水分监控与旱情预警系统中的数据参数进行拟合分析,在探讨SDT和LZW 2种压缩算法的基础上,提出一种二次压缩算法:第1次压缩采用基于SDT算法思想的平均值方法;第2次压缩采用改进的LZW算法实现。对压缩效果进行测试,仿真实验证明,在相同的硬件和软件环境下,该算法能实时、高效地压缩数据。

关键词: 实时数据, SDT算法, LZW算法, 二次压缩算法

Abstract: Aiming at the data parameters fitting and analysis in Real-time Water Monitoring and Drought Early Warning Systems, and based on the discussion of Swing Door Trengding(SDT) and Lemple-Ziv-Welch(LZW) algorithm, this paper proposes a second compression algorithm. In the first compression, it uses average method based on SDT compression algorithm; in the second compression, it uses the modified LZW algorithm to achieve. Through testing the compression effect, simulation experimental results show that in the same hardware and software environment, the algorithm is capable of compressing data real-time and effectively.

Key words: real-time data, Swing Door Trengding(SDT), Lemple-Ziv-Welch(LZW), secondary compression algorithm

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