EMD: Empirical Mode Decomposition and Hilbert-Huang Spectral Analyses in Python
Andrew J. Quinn, Vítor Lopes‐dos‐Santos, David Dupret, Anna Christina Nobre, Mark W. Woolrich
University of Oxford Wellcome Centre for Integrative Neuroimaging Brain Network Dynamics Unit Medical Research Council
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摘要与影响
The Empirical Mode Decomposition (EMD) package contains Python (>=3.5) functions for analysis of non-linear and non-stationary oscillatory time series. EMD implements a family of sifting algorithms, instantaneous frequency transformations, power spectrum construction and single-cycle feature analysis. These implementations are supported by online documentation containing a range of practical tutorials.
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工程Machine Fault Diagnosis Techniques
Computational Physics and Python Applications · Time Series Analysis and Forecasting
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