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A Flexible Method for Envelope Estimation in Empirical Mode Decomposition

机译:经验模态分解的一种灵活的包络估计方法

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摘要

A flexible and efficient method for finding the envelope within the empirical mode decomposition (EMD) is introduced. Unlike the existing (deterministic) spline based strategy, the proposed envelope is a result of an optimisation precess and sought as a minimum of a quadratic cost function. A closed form solution of this optimisation problem is obtained and it is shown that by choosing free parameters, we can fine-tune the frequency resolution or the number of intrinsic mode functions (IMFs) as well as the shape of the envelopes. Computer simulations on both the synthetic and real-world electro-encephalogram (EEG) data support the analysis.
机译:介绍了一种灵活有效的方法,用于在经验模式分解(EMD)中查找包络。与现有的(确定性)基于样条的策略不同,建议的包络是优化过程的结果,并且被寻求为二次成本函数的最小值。获得了该优化问题的封闭形式解决方案,结果表明,通过选择自由参数,我们可以微调频率分辨率或固有模式函数(IMF)的数量以及包络的形状。合成和真实脑电图(EEG)数据的计算机模拟都支持该分析。

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