Journal article
EMD: Empirical Mode Decomposition and Hilbert-Huang spectral analyses in Python
- Abstract:
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 380.4KB, Terms of use)
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- Publisher copy:
- 10.21105/joss.02977
Authors
+ Wellcome Trust
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- Grant:
- 203139/Z/16/Z
- 104571/Z/14/Z
- 106183/Z/14/Z
- 215573/Z/19/Z
- Publisher:
- Open Journals
- Journal:
- Journal of Open Source Software More from this journal
- Volume:
- 6
- Issue:
- 59
- Article number:
- 2977
- Publication date:
- 2021-03-31
- Acceptance date:
- 2021-03-31
- DOI:
- ISSN:
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2475-9066
- Language:
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English
- Keywords:
- Pubs id:
-
1170672
- Local pid:
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pubs:1170672
- Deposit date:
-
2021-04-06
- ARK identifier:
Terms of use
- Copyright holder:
- Quinn et al.
- Copyright date:
- 2021
- Rights statement:
- ©2021 The Authors. Authors of papers retain copyright and release the work under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
- Licence:
- CC Attribution (CC BY)
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