非平稳信号的双重中值容错平滑算法

平滑是消除或削弱测量数据随机误差时常用的数据处理手段。文章建立了一组新的非平稳数据序列容错平滑算法，其采用两阶段两次滑动中值与滑动均值平滑组合，实现了数据简化与平滑的统一。理论分析和仿真计算结果证实，算法可有效避免斑点型异常数据的不利影响，有效削弱随机误差的影响，改进数据处理精度和数据处理结果可靠性。

Fault-tolerant Twice Median Smoother Algorithm for Non-stationary Signals

Smoother is one of the widely used approaches to eliminate or to weaken the stochastic error from sampling data. A new kind of fault-tolerant smoothing algorithm is presented in this paper. This so-called fault-tolerant twice-median smoother is constructed with doubly sliding median smoothers and sliding mean smoothers, and can be used to smooth noise and to extract signals without removing any outliers before. Some theoretical results and simulation show that this new smoothing algorithm has the abilities to avoid bad influence from outliers and patchy in sampling time series and to extract signals unfailingly.