A Novel Method to Compress Real-time Process Data

摘要：

　　Most existing real-time data compressing algorithms are focused on dynamic and inconstancy of the process data,but a basic observation is ignored with some unexpectedness:on condition that sampling interval is not large,difference between amplitudes of real-time process data from two neighboring samples is relatively small,and most of data amplitudes are in the same range.In this paper we propose a compression algorithm based on the observation and experimentally evaluate the proposed approach and demonstrate that our algorithm is promising and efficient.

关键词： stream data mining process data data compression

作者: Xiaojian Zheng

作者单位: Faculty of Software, Fujian Normal University, Fuzhou 350007, China

会议类型: 国际会议

会议名称: the 2012 International Conference on Frontiers of Advanced Materials and Engineering Technology (2012年先进材料与工程技术国际会议(FAMET 2012))

会议地点: 厦门

会议语种:英文

页码: 1298-1301

在线出版日期: 2012-01-04（万方平台首次上网日期，不代表论文的发表时间）