The algorithm was used to detect simulated signals as well as actual vibration signals from a rotor system with various sampling Windows matching thresholds.
结合对仿真信号及实际转子系统振动信号的异常检测，对该算法的加窗方式及匹配阈值进行了分析。
By using the arrow keys to adjust the zoom control, you can adjust the Windows range by 1 sampling interval at a time.
通过使用箭头键调整缩放控件，可以按每次1个采样间隔来调整窗口范围。
A frequent items mining algorithm of stream data (SW-COUNT) was proposed, which used data sampling technique to mine frequent items of data flow under sliding Windows.
提出了一种流数据上的频繁项挖掘算法(SW - COUNT)。该算法通过数据采样技术挖掘滑动窗口下的数据流频繁项。
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