针对传统滤波方法处理非平稳信号的不足，提出利用经验模态分解法来处理转子启动信号，通过此方法的自适应滤波特性来提取这类信号中的低频分量。

This paper describes a method to extract the low frequency component from rotor startup signal based on empirical mode decomposition, which overcomes the difficulties of traditional filter methods.

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这项策略最适合高频宽网路连接，因为在低频宽连接上启动应用程序的延迟时间可能会非常久。

This strategy works best for high-bandwidth network connections; the delay in starting the application may be unacceptably long over low-bandwidth connections.

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