为了应对这类困难情况，本文定义了模式的动态特征空间和模式的动态可识别性等概念。
In this paper several definitions are given, such as dynamic feature space of patterns and dynamic recognizability of patterns.
地下煤矿开采所面对的空间目标具有灰色、动态变化的特征。
The spatial objects oriented in underground coalmine mining have the features of gray and dynamic change.
理论分析和仿真结果表明，该算法对基于趋势表示的子序列搜索在时间和空间上都具有更优的性能，适用于时间序列的动态特征分析。
Theoretic analysis and simulation indicate that the algorithm has better performance for sub-trend searching in temporal and space, and is useful in time series dynamic feature analysis.
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