In this paper a central limit theorem and some large deviation estimates are proved for Axiom a endomorphisms, and some known statistical results are reviewed.
本文对公理A自同态建立了中心极限定理和大偏差估计，并且复习了已知的有关统计性结果。
When the error bound of location deviation is known, the original point pattern relaxation matching algorithm is improved to obtain better matching performance.
研究了在已知最大定位误差的情况下时，如何对基本点特征松弛匹配算法进行改进，以提高匹配性能。
The known error bound of location deviation is used to determine the minimum matching merit for two point pairs so that the effect of spurious feature points can be reduced.
基本思想是利用已知的最大定位误差，确定两点对的最小匹配度量，从而减小虚假特征点对匹配结果的影响。
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