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).

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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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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.

youdao