【摘要】 提出了一种MT滤波修正算法,该方法不需要预先的过程模型,可以适应于相互关联的数据处理,而且能够检测并替代异值同时保全原有的其他数据信息不变。该算法简单可靠,容易实现。将其应用于含有大量测量噪声的试飞数据处理中,应用结果表明,该方法对非线性和复杂分布的过程数据有非常好的处理效果。更多还原

【Abstract】 A MT filter-cleaner is proposed,a prior knowledge of the process model is not required in the method,it is applicable to autocorrelated data processing and that tries to only clean(i.e.,detects and replaces) outliers and preserves all other information in the data.The proposed filter-cleaner is simple and reliable.In flight test data processing with masses of noises,the research explains that it is good for treatment of process data with nonlinear properties and other complex distributions.更多还原