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Spectral frequency analysis of nonlinear water waves based on the Hilbert-Huang transformation

机译:基于Hilbert-Huang转换的非线性水波光谱频率分析

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The Hilbert-Huang transformation (HHT) [1, 2] is a new method for analyzing nonlinear and non-stationary data series. The central idea behind the HHT is the so-called Empirical Mode Decomposition (EMD) that numerically decomposes a time-dependent signal into its own underlying characteristic modes. Applying the Hilbert transformation (HT) to each of these disintegrated Intrinsic Mode Function (IMF) subsequently provides the Hilbert amplitude or energy spectrum - producing more accurate spectra and proposing in all probability entirely new physical insights of nonlinear and non-stationary processes. The present paper describes the application of the HHT concerning the spectral frequency analysis of nonlinear transient water waves.
机译:Hilbert-Huang转化(HHT)[1,2]是分析非线性和非静止数据序列的一种新方法。 HHT背后的核心思想是所谓的经验模式分解(EMD),其数字地将时间依赖信中的信号分解为其自身的底层特征模式。将Hilbert变换(HT)应用于这些典型的内在模式功能(IMF)之后,提供了Hilbert幅度或能谱 - 产生更精确的光谱,并提出所有概率的非线性和非静止过程的新的身体洞察。本文介绍了HHT关于非线性瞬态水波光谱频率分析的应用。

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