【摘要】 基于小波分析和未确知滤波理论,研究了对观测序列中粗差进行探测和剔除的方法,并结合实例进行了分析和比较,表明这2种方法得到的探测结果基本一致,均具备较好的应用价值。此外,进一步分析了2种方法的优点和局限性,为实际应用提供了有用的参考。根据2种处理方法的特点,提出了粗差探测的综合探测方法。更多还原

【Abstract】 Based on the theories of wavelet analysis and unascertained filtering, the methods for detecting and eliminating gross-error in observation data series are studied. The analysis and comparison of two methods show that the detecting results are basically consistent, and they both have the value of application. Furthermore, the advantages and limitations of these two methods are analyzed, which provides reference for the practical application. Based on the characteristics of these two methods, an integrated method is proposed to detect gross-errors.更多还原