Quinn Andrew J, Lopes-Dos-Santos Vitor, Dupret David, Nobre Anna Christina, Woolrich Mark W
Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK.
Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX1 3TH, United Kingdom.
J Open Source Softw. 2021 Mar 31;6(59). doi: 10.21105/joss.02977.
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.
经验模态分解（EMD）软件包包含用于分析非线性和非平稳振荡时间序列的Python（>=3.5）函数。EMD实现了一系列筛选算法、瞬时频率变换、功率谱构建和单周期特征分析。这些实现由包含一系列实用教程的在线文档提供支持。
