In order to improve the signal-to-noise of the pulsar signal, an algorithm of pulsar signal de-noising based on Empirical Mode Decomposition (EMD) is proposed.
为了提高脉冲星辐射信号的信噪比，提出了一种基于经验模态分解(EMD)的脉冲星信号去噪算法。
The stopping criteria for sifting and boundary effect are studied for Empirical Mode Decomposition(EMD) algorithm.
对经验模式分解算法中的滤波停止条件和端点延拓问题进行了研究。
Firstly, the theory of empirical mode decomposition (EMD) is introduced, and the reconstructing and filtering algorithm of intrinsic mode functions (IMF) from EMD is given in this paper.
本文介绍了经验模态分解的方法与原理，给出了由经验模态分解产生的固有模态函数重构组合滤波器的原理与详细算法。
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