摘要
针对分段平均的方法在处理海量数据过程中损失有效数据信息的问题,提出基于累积差分的飞行测试数据中定义同类段的方法。该方法基于累积差分算法找出数据段中的极值点,由此确定同类段的边界。实例表明:方法可用于定义飞行测试数据中的同类段,在不损失原始数据信息的前提下,能够对海量数据进行有效压缩和快速处理。
When using the subsection-average method,valid data will be lost during processing massive data flux.The homogeneous segment definition solution for flight testing data based on cumulative difference method was proposed.By this method,the extreme values could easily be found and the boundaries also be determined in these data segments.The optimum design example showed that the homogeneous segment definition method was an effective way for date compression and fast processing without original information lossing when analyzing flight testing data.
出处
《探测与控制学报》
CSCD
北大核心
2011年第6期11-13,共3页
Journal of Detection & Control
关键词
数据分析
同类段
飞行测试数据
data analysis
homogeneous segment
flight testing data