This paper presents several methods of rationally rejecting and replacing the disturbed data when we measure time variable data and spectral data, according to their characteristics.
根据时变数据和谱数据的特点,提出了时变数据和谱数据测量中干扰数据合理剔除与取代的几种方法。
Also, we took over some problems encountered in the analysis, such as the weight distribution of the data set, the recognition and elimination of delay ambiguities, the criterion of rejecting ba...
并且还讨论了分析中遇到的数据权分配、延迟模糊度的识别和消除以及数据剔除准则等问题。
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