For fast sub trend sequence searching, a various steps algorithm is proposed based on analyzing the similarity of adjacent sub series distance.

通过分析相邻子序列趋势距离的相似性，提出一种变步长趋势子序列快速搜索算法。

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The basic function, constructing way and information searching workflow of sub-module were studied, which provide base for development of learning module of virtual printing problems training system.

通过研究子模块的基本功能、构建方法和信息检索流程，为虚拟印刷故障培训系统学习模块的开发奠定基础。

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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.

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。

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