Abstract
Empirical Mode Decomposition (EMD) is a data-driven technique for extraction of oscillatory components from data. Although it has been introduced over 15 years ago, its mathematical foundations are still missing which also implies lack of objective metrics for decomposed set evaluation. Most common technique for assessing results of EMD is their visual inspection, which is very subjective. This article provides objective measures for assessing EMD results based on the original definition of oscillatory components.
Original language | English |
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Title of host publication | 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 |
Editors | Karol Molnar, Norbert Herencsar |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 504-507 |
Number of pages | 4 |
ISBN (Electronic) | 9781479984985 |
DOIs | |
Publication status | Published - 9 Oct 2015 |
Externally published | Yes |
Event | 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 - Prague, Czech Republic Duration: 9 Jul 2015 → 11 Jul 2015 |
Publication series
Name | 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 |
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Conference
Conference | 2015 38th International Conference on Telecommunications and Signal Processing, TSP 2015 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 9/07/15 → 11/07/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Empirical Mode Decomposition
- Hilbert Transform
- Hilbert-Huang Transform
- Intrinsic Mode Function
- Metric
- Signal Decomposition