EconPapers    
Economics at your fingertips  
 

Detection of high frequency emission using ensemble empirical mode decomposition

Tomina Thomas and Prawin Angel Michael

International Journal of Energy Technology and Policy, 2021, vol. 17, issue 5, 510-528

Abstract: This paper discusses state-of-the-art study of the different methods of signal processing. Nowadays emissions are rising in the range of high frequencies due to the rapid development of energy-saving equipment. So much work was under way in various fields to identify these emissions. Fourier transforms, short-time Fourier transforms and empirical mode decomposition (EMD) are some of the methods used for the detection process. Apart from these methods ensemble, empirical mode decomposition (EEMD) becomes a superior approach for precise measurements.

Keywords: ensemble empirical mode decomposition; EEMD; power quality; short time Fourier transform; supra-harmonics. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=119873 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetpo:v:17:y:2021:i:5:p:510-528

Access Statistics for this article

More articles in International Journal of Energy Technology and Policy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijetpo:v:17:y:2021:i:5:p:510-528