摘要
滤波算法的容错设计是技术过程可靠性与安全性领域的重要研究内容.本文建立了一组新的非平稳过程容错滤波算法,该算法采用两阶段两次滑动中值与滑动均值滤波器的组合,实现了数据洁化与滤波的统一.理论分析和仿真计算结果证实,该滤波算法可有效避免斑点型异常数据的不利影响,可靠地从采样序列中提取信号.
To design fault-tolerant filters for signal processing is very important in research for reliability and safety of technological processes. In this paper, a new kind of fault-tolerant filter is built for non-stationary process. The doubly sliding median filters and the sliding mean filters are combined to construct this so-called twice-median filter. This new filtering algorithm can be used to filter noise and to extract signals without removing any outliers before. Some theoretical results and simulation show that these new filtering algorithms have the abilities to avoid bad influence from outliers and patchy in sampling time series and to extract signals unfailingly.
出处
《系统仿真学报》
CAS
CSCD
2004年第7期1580-1583,共4页
Journal of System Simulation
基金
国家自然科学基金(90305007)
中国博士后科学基金(200203123)
王宽诚博士后工作奖励基金(2002 0916102042)
面向21世纪教育振兴行动计划(YL1318)资助项目
关键词
滤波
容错处理
异常数据
非平稳过程
Filter
Fault-Tolerant Processing
Outliers
Non-stationary Process
