经实验对比发现，序贯相似检测算法具有较高的计算速度、定位精度，比较适合于高要求的工业应用中。
By comparison, Sequential Similarity Detection algorithm bears the characteristics of speedy calculation, accurate orientation and anti-jamming, which is fit for the high requirement in industry.
在实验中，与传统的序贯相似性检测算法(SSDA)作了比较，证明了本文算法的有效性。
In our experiment, it is proved to be effective after comparing with the conventional sequential similarity detection algorithm (SSDA).
给出了序贯相似性检测算法中，自适应门限的选择方法。
Also a method of selecting an adaptive threshold in SSDA is given.
给出了序贯相似性检测算法中，自适应门限的选择方法。
Also a method of selecting an adaptive threshold in SSDA is given.
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