...信号是带噪声的非平稳非线性信号,本文重点研究了适用于非平稳、非线性信号处理的经验模态分解算法(Empirical Mode Decomposition,EMD),为了提高局部EMD算法的分解精度,对局部EMD方法进行了改进。
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利用算法实现了改进后的经验模态分解方法。
Carrying out the improved empirical mode decomposition method utilizing the algorithm.
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。
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.
针对经验模态分解过程存在的边界效应问题，提出了利用AR模型进行包络延拓的边界处理算法。
For the end effect in the process of empirical mode decomposition, the envelope extension algorithm by using AR model is proposed.
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