变点分析理论旨在用统计学的方法解决非线性数据处理的有关问题。
Change point theory is aimed to solve some problems of nonlinear data processing by way of statistics.
金融时间序列模型的变点分析是一类重要的统计问题，它引起众多学者的关注。
The change-point analysis in financial time series has been regarded as one of the core areas of research in statistics.
该文在对收费站汽车牌照特征分析的基础上，提出了一种改进的基于扫描行的灰度跳变点特征的车牌定位算法。
Under the basis of the analysis to characteristic of toll station vehicle number-plate, this paper presents an improved number-plate locating method based on the characteristics of gray beep points.
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