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Adaptive Instantaneous Frequency Estimation Based on EMD and TKEO

机译:基于EMD和TKEO的自适应瞬时频率估计

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An adaptive approach to the estimation of the instantaneous frequency (IF) of non-stationary and nonlinear multi-component signals is presented. This method relates to the newly developed Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO). EMD can adaptively decompose signal into a series of zero mean Amplitude Modulation-Frequency Modulation (AM-FM) Intrinsic Mode Functions (IMFs). TKEO can track the instantaneous frequency (IF) and the instantaneous amplitude (IA) of the AM-FM component at any time instant. Two simulated signals are conducted to evaluate the effectiveness of the proposed method. Simulation results show that EMD and TKEO are effectively applied to signal of multi-component for the extraction of instantaneous frequency.
机译:呈现了估计非静止和非线性多分量信号的瞬时频率(IF)的自适应方法。该方法涉及新开发的经验模型分解(EMD)和Teager Kaiser能量操作员(Tkeo)。 EMD可以自适应地将信号分解为一系列零平均幅度调制 - 频率调制(AM-FM)内联模式功能(IMF)。 Tkeo可以在任何时间瞬间跟踪AM-FM组件的瞬时频率(IF)和瞬时幅度(IA)。进行了两个模拟信号以评估所提出的方法的有效性。仿真结果表明,EMD和TKEO有效地应用于用于提取瞬时频率的多组分信号。

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