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Time-Frequency Analysis of Non-stationary Ground Motions Via Multivariate Empirical Mode Decomposition

机译:多元经验模型分解的非平稳地运动的时频分析

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In this paper, MEMD-based scalogram and coscalogram, and instantaneous frequency spectral are proposed to characterize the data derived from the multivariate non-stationary process. The scalogram and instantaneous frequency spectral capture spectral evolution of each component while the coscalogram reveals embedded intermittent correlation between two components. Compared with scale-based scalogram and coscalogram, frequency-based instantaneous frequency spectral provides more detailed portrayal for multivariate data. The effectiveness of the proposed MEMD-based time-frequency analysis framework is validated by numerical examples of uniformly and generally modulated ground motions.
机译:在本文中,提出了基于MEMD的缩放和镜像图,以及瞬时频谱来表征来自多变量非静止过程的数据。跨图谱显示两个组分之间的嵌入间歇相关性的同时,每个组件的缩放和瞬时频谱捕获光谱演化。与基于尺度的缩放和剖视图相比,基于频率的瞬时频谱为多变量数据提供了更详细的写照。所提出的基于MEMD的时频分析框架的有效性由均匀和通常调制的地运动的数值例子验证。

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