• It is crucial to study the features of the frequency hopping signals in both time and frequency domain in order to detect and trace the FH signals.

    信号进行分析研究跳频通信,实现识别、跟踪频信号的重要基础。

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  • Signals of cutting force and vibration are measured with multi-sensor and features in frequency domain and time-frequency domain are extracted by using wavelet package decomposition.

    利用多传感器切削振动信号进行监测,通过频率变换提取切削力特征量,采用小波包分解技术提取振动信号特征量。

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  • The features of seismic signals are different between time and frequency domains. We can make reservoir prediction better with seismic signals in frequency domain.

    地震信号频率时间域表现出不同特征,利用频率域的地震信号,可以更好进行储层预测

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  • They show different characteristics in time and frequency domain and share no statistical features.

    它们各自时域域中有互不相同的特点没有一致的统计参数。

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  • They show different characteristics in time and frequency domain and share no statistical features.

    它们各自时域域中有互不相同的特点没有一致的统计参数。

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